SlideShare a Scribd company logo
1 of 4
Download to read offline
Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.67-70
ISSN: 2278-2419
67
Analyzing the Role of a Family in Constructing
Gender Roles Using Combined Overlap Block
Fuzzy Cognitive Maps
A.Victor Devadoss1
and K.Sudha2
1
Head & Associate Professor, Department of Mathematics, Loyola College, Chennai
2
Ph.D Research Scholar, Department of Mathematics, Loyola College, Chennai
Email: hanivictor@ymail.com,ashu.8788@gmail.com
Abstract - Family, as a social institution and as the
fundamental unit of the society, plays a vital role in forming
persons. We become full-fledged members of the society
through the process of socialization which starts in the family.
It provides the first foundational formation of personhood.
Especially in traditional societies like India the role of the
family assumes even greater importance. We learn to
differentiate and to discriminate between man and woman from
the role our parents play. In this paper we analyze the role of
the family in constructing gender roles using Combined
Overlap Block Fuzzy Cognitive Maps.
Keywords - Fuzzy, Fuzzy Cognitive Maps, Combined FCM,
Gender role, women empowerment, violence against women.
I. INTRODUCTION
Gender refers to the identification of the sexes usually
influenced by cultural factors like religion, politics social
factors and education. Fafunwa (1974), who analysed the role
of women in the African society, defines the traditional roles of
women to be mainly that of childbearing, housekeeping and the
sustenance of agricultural activities.
A. The Role of a Family
Family, as a social system and the fundamental unit of society,
plays vital role in building persons. In provides the first
foundational formation of personhood. It teaches what a person
is, what a boy is or what a girl is. As a social institution it is
also vulnerable to all kinds of social prejudices and
stereotypes, which it acquires from the society and teaches
them to the members of the society. Thus it plays a vital role in
constructing gender roles and gender relations. We first learn
to distinguish and discriminate men from women in family by
looking at the roles our parents play. As a Tamil poem says the
child learns to call her father when newspaper man comes and
call her mother when milkman comes without anyone to teach
her so. A recent survey, quoted in Unicef’s report, found
that 57 percent of adolescent Indian boys (15-19 years)
justified wife-beating by husbands as compared to 53 percent
female adolescents during 2002-2010. This clearly shows the
importance of the role played by social institutions like family
in defining and determining gender roles. In this paper we
analyze the role of the family in gender roles and gender
relations. For this we interviewed 25 families in Chennai. We
use Combined Overlap Block Fuzzy Cognitive Maps
(COBFCM).
II. FUNDAMENTALS OF COMBINED OVERLAP
BLOCK FCM
In this section we just recall that the fundamentals of Fuzzy
cognitive maps
A. Definition
An FCM is a directed graph with concepts like policies, events
etc. as nodes and causalities as edges. It represents causal
relationship between concepts.
B. Definition
When the nodes of the FCM are fuzzy sets then they are called
as fuzzy nodes.
C. Definition
FCMs with edge weights or causalities from the set {-1, 0, 1}
are called simple FCMs.
D. Definition
The edges eij take values in the fuzzy causal interval [–1, 1]. eij
= 0 indicates no causality, eij > 0 indicates causal increase Cj
increases as Ci increases (or Cj
decreases as Ci decreases). eij < 0 indicates causal decrease or
negative causality. Cj decreases as Ci increases (and or Cj
increases as Ci decreases). Simple FCMs have edge values in
{–1, 0, 1}. Then if causality occurs, it occurs to a maximal
positive or negative degree. Simple FCMs provide a quick first
approximation to an expert stand or printed causal knowledge.
If increase (or decrease) in one concept leads to increase (or
decrease) in another, then we give the value 1. If there exists
no relation between two concepts, the value 0 is given. If
increase (or decrease) in one concept decreases (or increases)
another, then we give the value –1. Thus FCMs are described
in this way. Consider the nodes or concepts C1
, , Cn of the FCM. Suppose the directed graph is drawn using
edge weight eij {0, 1, -1}. The matrix E be defined by E = (eij),
where eij is the weight of the directed edge CiCj. E is called the
adjacency matrix of the FCM,also known as the connection
matrix of the FCM. It is important to note that all matrices
associated with an FCM are always square matrices with
diagonal entries as zero.
E. Definition
Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.67-70
ISSN: 2278-2419
68
Let C1, C2,… , Cn be the nodes of an FCM. Let A= (a1, a2,.. ,
an), where ai ( )i j {0,1}. A is called the instantaneous state
vector and it denotes the on-off position of the node at an
instant. ai = 0 if ai is off ai = 1 if ai is on, where i = 1, 2, , n.
F. Definition
Let C1, C2,…, Cn be the nodes of and FCM. Let
1 2 2 3 3 4
, , , ..., i j
C C C C C C C C be the edges of the FCM
( )i j . Then the edges form a directed cycle. An FCM is
said to be cyclic if it possesses a directed cyclic. An FCM is
said to be acyclic if it does not possess any directed cycle.
G. Definition
An FCM with cycles is said to have a feedback.
H. Definition
When there is a feedback in an FCM, i.e., when the causal
relations flow through a cycle in a revolutionary way, the FCM
is called a dynamical system.
I. Definition
Let 1 2 2 3 3 4 1
, , ,..., n n
C C C C C C C C
be a cycle. When Ci is
switched on and if the causality flows through the edges of a
cycle and if it again causes Ci, we say that the dynamical
system goes round and round. This is true for any node Ci, for
i =1, 2,…, n. The equilibrium state for this dynamical system
is called the hidden pattern.
J. Definition
If the equilibrium state of a dynamical system is a unique state
vector, then it is called a fixed point. Consider an FCM with
C1, C2,…, Cn as nodes. For example let us start the dynamical
system by switching on C1. Let us assume that the FCM
settles down with C1 and Cn on i.e., the state vector remain as
(1, 0, 0,…, 1). This state vector (1, 0, …, 0, 1) is called the
fixed point.
K. Definition
If the FCM settles down with a state vector repeating in the
form A1→A2→…→Ai→A1 then this equilibrium is called a
limit cycle of the FCM.
L. Definition
Finite number of FCMs can be combined together to produce
the joint effect of all the FCMs. Let E1, E2, , Ep be adjacency
matrices of the FCMs with nodes C1, C2, , Cn, then the
combined FCM is got by adding all the adjacency matrices
E1,… , Ep. We denote the combined FCM adjacency matrix by
E = E1 + E2 + …+ Ep.
M. Definition
Let P be the problem under investigation. Suppose let {C1, C2,
...,Cn} be n concepts associated with P (n very large) . Now
divide the number of concepts {C1, C2, ...,Cn} into classes
S1,...,St where the classes are such that
(i) Si Si+1 Ø where (i = 1,2,...,t-1)
(ii) Si = { C1, C2, ...,Cn }
(iii) |Si| |Sj| if i j in general.
Now we obtain the FCM associated with each of the classes S1,
…, St. We determine the relational matrix associated with each
Si. Using these matrices we obtain a n × n matrix. This n × n
matrix is the matrix associated with the Combined Overlap
Block FCM (COBFCM) of blocks of same sizes.
III. ADAPTATION OF COBFCM TO THE
PROBLEM
Using the linguistic questionnaire and the experts opinion we
have taken the following eight concepts {C1, C2, ...,C8}. These
concepts are taken as the main nodes for our problem.
C1 – Sex-selective preferences for boy child
C2– Using ‘gender-sensitive statements’ in the family
C3 – Assigning ‘gender-specific’ works
C4 – Social status enjoyed by the family
C5 – Religious background
C6 – The role of siblings and relatives
C7 – Cultural values/stereotypes.
C8 – Educational status
Now we proceed on to apply the effect of combined overlap
block FCM of equal length. Let us consider the eight concepts
{C1, C2, ...,C8}. We divide these concepts into cyclic way of
classes, each having just four concepts in the following way:
S1, = {C1, C2, C3, C4,}, S2 ={C3, C4, C5,C6}, S3 = {C5,C6, C7
, C8, }, S4 ={ C7, C8, C1, C2}.
The directed graph and the relation matrix for the class S1 =
{C1, C2, C3, C4,} given by the expert are as follows:
C1
C3
C2
C4
Fig 1
1
0 1 1 1
1 0 1 1
0 1 0 0
1 1 1 0
s
 
 
 
 
 
 
The directed graph and the relation matrix for the class S2 =
{C3, C4, C5,C6} given by the expert are as follows:
Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.67-70
ISSN: 2278-2419
69
C3
C5
C4
C6
Fig 2
2
0 0 0 1
1 0 0 1
1 0 0 1
1 1 0 0
s
 
 
 
 
 
 
The directed graph and the relation matrix for the class S3 =
{C5, C6, C7, C8} given by the expert is as follows:
C5
C7
C6
C8
Fig 3
3
0 1 1 1
0 0 1 1
0 1 0 1
1 1 0 0
s
 
 
 
 
 
 
The directed graph and the relation matrix for the class S4 ={
C7, C8, C1, C2} given by the expert are as follows:
C7
C1
C8
C2
Fig 4
4
0 1 1 1
0 0 1 1
1 1 0 1
1 0 1 0
s
 
 
 
 
 
 
Now using the matrix A of the Combined overlap block FCM
we determine the hidden pattern. Suppose the concept C1 is in
the ON state and all the nodes are in the OFF state. Let the
initial input vector be X = (1 0 0 0 0 0 0 0 ), where Sex-
selective preference for boy child is taken as the ON state and
all other nodes are in the OFF state.
The combined directed graph and combined overlap block
FCM of equal sizes is are follows:
C3
C1
C4
C2 C5 C6
C7 C8
Fig 5
1 2 3 4 5 6 7 8
c c c c c c c c
1
2
3
4
5
6
7
8
0 2 1 1 0 0 1 1
2 0 1 1 0 0 1 0
0 1 0 0 0 1 0 0
1 1 2 0 0 1 0 0
0 0 1 0 0 2 1 1
0 0 1 1 0 0 1 1
1 1 0 0 0 1 0 2
1 1 0 0 1 1 0 0
c
c
c
c
A
c
c
c
c
 
 
 
 
 
 

 
 
 
 
 
 
 
The effect of X on the dynamical system A is given by:
XA = ( 0 2 1 1 0 0 1 1)
↪ ( 1 1 1 1 0 0 1 1) = X1 (say)
X1 A = ( 5 6 4 2 1 4 2 3)
↪ ( 1 1 1 1 1 1 1 1) = X2 (say)
X2 A = ( 5 6 6 3 1 6 4 5 )
↪ ( 1 1 1 1 1 1 1 1) = X3 = X2Let us repeat the calculation
choosing another input vector X = (0 0 0 0 0 0 0 1), where
Educational status of the family is taken as the ON state and all
other nodes are in the OFF state. The effect of X on the
dynamical system A is given by:
XA = ( 1 1 0 0 1 1 0 0)
↪ ( 1 1 0 0 1 1 0 1) = X1 (say)
X1 A = ( 3 3 4 3 1 3 4 3)
↪ ( 1 1 1 1 1 1 1 1) = X2 (say)
X2 A = ( 5 6 6 3 1 6 4 5)
↪ ( 1 1 1 1 1 1 1 1 ) = X3 = X2(where ↪ denotes the
resultant vector after thresholding and updating ), X3 is the
hidden pattern, which is the fixed point.
Table 1
Input vector Limit point
( 1 0 0 0 0 0 0 0) ( 1 1 1 1 1 1 1 1)
( 0 1 0 0 0 0 0 0) ( 1 1 1 1 1 1 1 1)
( 0 0 1 0 0 0 0 0) ( 1 1 1 1 1 1 1 1)
( 0 0 0 1 0 0 0 0) ( 1 1 1 1 1 1 1 1)
(0 0 0 0 1 0 0 0) ( 1 1 1 1 1 1 1 1)
( 0 0 0 0 0 1 0 0) ( 1 1 1 1 1 1 1 1)
( 0 0 0 0 0 0 1 0) ( 1 1 1 1 1 1 1 1)
( 0 0 0 0 0 0 0 1) ( 1 1 1 1 1 1 1 1)
IV. CONCLUSION AND SUGGESTIONS
From the table above we can easily see that the family plays a
role in building gender roles in the society. For various input
vector we get the same limit point which means that all these
concepts do affect the gender roles. The terms of relationships
in a family are taken for granted and the rigidly defined gender
roles assigned within a family are hardly refuted. To bring
Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.67-70
ISSN: 2278-2419
70
about a fundamental change in the society at large, one should
begin from family.Sex-selective preference for boy child by
the parents and the relatives is usually justified by the relative
difference in cost spent for the education and marriage of a girl
and a boy. Therefore the abolition of dowry system becomes
vital to bring about a change in the minds of the parents and
relatives.Parents should be trained or instructed over their use
of gender sensitive and assignment of gender-specific works
statements in the family. As educational status also plays a role
in building gender role, education of girl children should be
compulsorily promoted.
REFERENCES
[1] Axelrod, R. (1976), Structure of decision: The cognitive maps of political
elites. Princeton, NJ: Princeton University Press.
[2] Beal, C. [1994], Boys and Girls: The Development of Gender Roles. New
York, NY: mcgraw- Hill.
[3] Fafunwa, B.A. (1974), History of Education in Nigeria, London: Allen &
Unwin, I974 Pp. 264.
[4] Government of India. (2008), India Country Report: To prevent and
combat trafficking and commercial sexual exploitation of children and women,
World Congress III Against Sexual Exploitation of Children and Adolescents,
Rio de Janeiro, Brazil, November 2008.
[5] Kandasamy, V.W.B. and A.V. Devadoss. (2004), “Some New Fuzzy
Techniques”, Jour. of inst. of Math. & Comp.Sci. (Math.ser.), Vol. 17, No.2,
(2004 ), Pp.157- 160.
[6] Klir G.J, and B. Yuan. (1997), Fuzzy sets and Fuzzy logic: Theory and
Application, Prentice hall of India private limited, New Delhi.
[7] Kosko, B.(1986), Fuzzy Cognitive Maps, International Journal of man-
machine studies, January,1986, Pp.62-75.
[8] UNICEF. (2012), Progress for Children: A report card on Adolescents, 3
United Nations Plaza, New York, NY 10017, USA.

More Related Content

Similar to Analyzing the Role of a Family in Constructing Gender Roles Using Combined Overlap Block Fuzzy Cognitive Maps

A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Maps
A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive MapsA Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Maps
A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Mapsijcnes
 
A Analysis of Environmental Education for the Next Generation Using Combined ...
A Analysis of Environmental Education for the Next Generation Using Combined ...A Analysis of Environmental Education for the Next Generation Using Combined ...
A Analysis of Environmental Education for the Next Generation Using Combined ...ijcnes
 
Fuzzy cognitive map and Rough Sets in Decision Making
Fuzzy cognitive map and Rough Sets in Decision MakingFuzzy cognitive map and Rough Sets in Decision Making
Fuzzy cognitive map and Rough Sets in Decision MakingDrATAMILARASIMCA
 
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...MangaiK4
 
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...ijcnes
 
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)ijdmtaiir
 
1-s2.0-S0047259X16300689-main (1).pdf
1-s2.0-S0047259X16300689-main (1).pdf1-s2.0-S0047259X16300689-main (1).pdf
1-s2.0-S0047259X16300689-main (1).pdfshampy kamboj
 
asdSimilar triangles 5 5 (1)
asdSimilar triangles 5 5 (1)asdSimilar triangles 5 5 (1)
asdSimilar triangles 5 5 (1)Savita Jain
 
Arts revealed in calculus and its extension
Arts revealed in calculus and its extensionArts revealed in calculus and its extension
Arts revealed in calculus and its extensionPremier Publishers
 
Magnet community identification on social networks
Magnet community identification on social networksMagnet community identification on social networks
Magnet community identification on social networksGuan Wang
 
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATION
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATIONLATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATION
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATIONcscpconf
 
College Essay Tell Us Something Yourself
College Essay Tell Us Something YourselfCollege Essay Tell Us Something Yourself
College Essay Tell Us Something YourselfDiana Jordan
 
BA4101 Question Bank.pdf
BA4101 Question Bank.pdfBA4101 Question Bank.pdf
BA4101 Question Bank.pdfFredrickWilson4
 
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...ijfls
 
Kakuro: Solving the Constraint Satisfaction Problem
Kakuro: Solving the Constraint Satisfaction ProblemKakuro: Solving the Constraint Satisfaction Problem
Kakuro: Solving the Constraint Satisfaction ProblemVarad Meru
 
Interest Rate Modeling With Cox Ingersoll Ross
Interest Rate Modeling With Cox Ingersoll RossInterest Rate Modeling With Cox Ingersoll Ross
Interest Rate Modeling With Cox Ingersoll Rossstretyakov
 
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical Trees
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical TreesPhase 3 IP Discrete Mathematics - Vertexes & Hierarchical Trees
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical TreesMark Simon
 
Human Face Detection Based on Combination of Logistic Regression, Distance of...
Human Face Detection Based on Combination of Logistic Regression, Distance of...Human Face Detection Based on Combination of Logistic Regression, Distance of...
Human Face Detection Based on Combination of Logistic Regression, Distance of...IJCSIS Research Publications
 

Similar to Analyzing the Role of a Family in Constructing Gender Roles Using Combined Overlap Block Fuzzy Cognitive Maps (20)

A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Maps
A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive MapsA Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Maps
A Study on Community Vitality using Combined Overlap Block Fuzzy Cognitive Maps
 
A Analysis of Environmental Education for the Next Generation Using Combined ...
A Analysis of Environmental Education for the Next Generation Using Combined ...A Analysis of Environmental Education for the Next Generation Using Combined ...
A Analysis of Environmental Education for the Next Generation Using Combined ...
 
Fuzzy cognitive map and Rough Sets in Decision Making
Fuzzy cognitive map and Rough Sets in Decision MakingFuzzy cognitive map and Rough Sets in Decision Making
Fuzzy cognitive map and Rough Sets in Decision Making
 
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
An Analysis of Risk Factors of Breast Cancer Using Interval Weighted Fuzzy Co...
 
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...
A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic ...
 
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)
 
Master's Thesis
Master's ThesisMaster's Thesis
Master's Thesis
 
1-s2.0-S0047259X16300689-main (1).pdf
1-s2.0-S0047259X16300689-main (1).pdf1-s2.0-S0047259X16300689-main (1).pdf
1-s2.0-S0047259X16300689-main (1).pdf
 
asdSimilar triangles 5 5 (1)
asdSimilar triangles 5 5 (1)asdSimilar triangles 5 5 (1)
asdSimilar triangles 5 5 (1)
 
Arts revealed in calculus and its extension
Arts revealed in calculus and its extensionArts revealed in calculus and its extension
Arts revealed in calculus and its extension
 
Magnet community identification on social networks
Magnet community identification on social networksMagnet community identification on social networks
Magnet community identification on social networks
 
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATION
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATIONLATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATION
LATTICE-CELL : HYBRID APPROACH FOR TEXT CATEGORIZATION
 
College Essay Tell Us Something Yourself
College Essay Tell Us Something YourselfCollege Essay Tell Us Something Yourself
College Essay Tell Us Something Yourself
 
BA4101 Question Bank.pdf
BA4101 Question Bank.pdfBA4101 Question Bank.pdf
BA4101 Question Bank.pdf
 
Talk 5
Talk 5Talk 5
Talk 5
 
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...
PREDICTIVE EVALUATION OF THE STOCK PORTFOLIO PERFORMANCE USING FUZZY CMEANS A...
 
Kakuro: Solving the Constraint Satisfaction Problem
Kakuro: Solving the Constraint Satisfaction ProblemKakuro: Solving the Constraint Satisfaction Problem
Kakuro: Solving the Constraint Satisfaction Problem
 
Interest Rate Modeling With Cox Ingersoll Ross
Interest Rate Modeling With Cox Ingersoll RossInterest Rate Modeling With Cox Ingersoll Ross
Interest Rate Modeling With Cox Ingersoll Ross
 
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical Trees
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical TreesPhase 3 IP Discrete Mathematics - Vertexes & Hierarchical Trees
Phase 3 IP Discrete Mathematics - Vertexes & Hierarchical Trees
 
Human Face Detection Based on Combination of Logistic Regression, Distance of...
Human Face Detection Based on Combination of Logistic Regression, Distance of...Human Face Detection Based on Combination of Logistic Regression, Distance of...
Human Face Detection Based on Combination of Logistic Regression, Distance of...
 

More from ijdmtaiir

A review on data mining techniques for Digital Mammographic Analysis
A review on data mining techniques for Digital Mammographic AnalysisA review on data mining techniques for Digital Mammographic Analysis
A review on data mining techniques for Digital Mammographic Analysisijdmtaiir
 
Comparison on PCA ICA and LDA in Face Recognition
Comparison on PCA ICA and LDA in Face RecognitionComparison on PCA ICA and LDA in Face Recognition
Comparison on PCA ICA and LDA in Face Recognitionijdmtaiir
 
A Novel Approach to Mathematical Concepts in Data Mining
A Novel Approach to Mathematical Concepts in Data MiningA Novel Approach to Mathematical Concepts in Data Mining
A Novel Approach to Mathematical Concepts in Data Miningijdmtaiir
 
Analysis of Classification Algorithm in Data Mining
Analysis of Classification Algorithm in Data MiningAnalysis of Classification Algorithm in Data Mining
Analysis of Classification Algorithm in Data Miningijdmtaiir
 
Performance Analysis of Selected Classifiers in User Profiling
Performance Analysis of Selected Classifiers in User ProfilingPerformance Analysis of Selected Classifiers in User Profiling
Performance Analysis of Selected Classifiers in User Profilingijdmtaiir
 
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...ijdmtaiir
 
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...Analysis of Influences of memory on Cognitive load Using Neural Network Back ...
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...ijdmtaiir
 
An Analysis of Data Mining Applications for Fraud Detection in Securities Market
An Analysis of Data Mining Applications for Fraud Detection in Securities MarketAn Analysis of Data Mining Applications for Fraud Detection in Securities Market
An Analysis of Data Mining Applications for Fraud Detection in Securities Marketijdmtaiir
 
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...ijdmtaiir
 
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...Scaling Down Dimensions and Feature Extraction in Document Repository Classif...
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...ijdmtaiir
 
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...ijdmtaiir
 
A Study on Youth Violence and Aggression using DEMATEL with FCM Methods
A Study on Youth Violence and Aggression using DEMATEL with FCM MethodsA Study on Youth Violence and Aggression using DEMATEL with FCM Methods
A Study on Youth Violence and Aggression using DEMATEL with FCM Methodsijdmtaiir
 
Certain Investigation on Dynamic Clustering in Dynamic Datamining
Certain Investigation on Dynamic Clustering in Dynamic DataminingCertain Investigation on Dynamic Clustering in Dynamic Datamining
Certain Investigation on Dynamic Clustering in Dynamic Dataminingijdmtaiir
 
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...ijdmtaiir
 
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy
An Approach for the Detection of Vascular Abnormalities in Diabetic RetinopathyAn Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathyijdmtaiir
 
Improve the Performance of Clustering Using Combination of Multiple Clusterin...
Improve the Performance of Clustering Using Combination of Multiple Clusterin...Improve the Performance of Clustering Using Combination of Multiple Clusterin...
Improve the Performance of Clustering Using Combination of Multiple Clusterin...ijdmtaiir
 
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...ijdmtaiir
 
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)ijdmtaiir
 
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...ijdmtaiir
 
A Study of Pervasive Computing Environments in Improving the Quality of Life ...
A Study of Pervasive Computing Environments in Improving the Quality of Life ...A Study of Pervasive Computing Environments in Improving the Quality of Life ...
A Study of Pervasive Computing Environments in Improving the Quality of Life ...ijdmtaiir
 

More from ijdmtaiir (20)

A review on data mining techniques for Digital Mammographic Analysis
A review on data mining techniques for Digital Mammographic AnalysisA review on data mining techniques for Digital Mammographic Analysis
A review on data mining techniques for Digital Mammographic Analysis
 
Comparison on PCA ICA and LDA in Face Recognition
Comparison on PCA ICA and LDA in Face RecognitionComparison on PCA ICA and LDA in Face Recognition
Comparison on PCA ICA and LDA in Face Recognition
 
A Novel Approach to Mathematical Concepts in Data Mining
A Novel Approach to Mathematical Concepts in Data MiningA Novel Approach to Mathematical Concepts in Data Mining
A Novel Approach to Mathematical Concepts in Data Mining
 
Analysis of Classification Algorithm in Data Mining
Analysis of Classification Algorithm in Data MiningAnalysis of Classification Algorithm in Data Mining
Analysis of Classification Algorithm in Data Mining
 
Performance Analysis of Selected Classifiers in User Profiling
Performance Analysis of Selected Classifiers in User ProfilingPerformance Analysis of Selected Classifiers in User Profiling
Performance Analysis of Selected Classifiers in User Profiling
 
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...
 
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...Analysis of Influences of memory on Cognitive load Using Neural Network Back ...
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...
 
An Analysis of Data Mining Applications for Fraud Detection in Securities Market
An Analysis of Data Mining Applications for Fraud Detection in Securities MarketAn Analysis of Data Mining Applications for Fraud Detection in Securities Market
An Analysis of Data Mining Applications for Fraud Detection in Securities Market
 
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
 
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...Scaling Down Dimensions and Feature Extraction in Document Repository Classif...
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...
 
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...
Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...
 
A Study on Youth Violence and Aggression using DEMATEL with FCM Methods
A Study on Youth Violence and Aggression using DEMATEL with FCM MethodsA Study on Youth Violence and Aggression using DEMATEL with FCM Methods
A Study on Youth Violence and Aggression using DEMATEL with FCM Methods
 
Certain Investigation on Dynamic Clustering in Dynamic Datamining
Certain Investigation on Dynamic Clustering in Dynamic DataminingCertain Investigation on Dynamic Clustering in Dynamic Datamining
Certain Investigation on Dynamic Clustering in Dynamic Datamining
 
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...
 
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy
An Approach for the Detection of Vascular Abnormalities in Diabetic RetinopathyAn Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathy
 
Improve the Performance of Clustering Using Combination of Multiple Clusterin...
Improve the Performance of Clustering Using Combination of Multiple Clusterin...Improve the Performance of Clustering Using Combination of Multiple Clusterin...
Improve the Performance of Clustering Using Combination of Multiple Clusterin...
 
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...
 
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
 
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...
 
A Study of Pervasive Computing Environments in Improving the Quality of Life ...
A Study of Pervasive Computing Environments in Improving the Quality of Life ...A Study of Pervasive Computing Environments in Improving the Quality of Life ...
A Study of Pervasive Computing Environments in Improving the Quality of Life ...
 

Recently uploaded

Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Call Girls in Nagpur High Profile
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...RajaP95
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxupamatechverse
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...ranjana rawat
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...Call Girls in Nagpur High Profile
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlysanyuktamishra911
 

Recently uploaded (20)

Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
 

Analyzing the Role of a Family in Constructing Gender Roles Using Combined Overlap Block Fuzzy Cognitive Maps

  • 1. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications Volume: 02 Issue: 02 December 2013 Page No.67-70 ISSN: 2278-2419 67 Analyzing the Role of a Family in Constructing Gender Roles Using Combined Overlap Block Fuzzy Cognitive Maps A.Victor Devadoss1 and K.Sudha2 1 Head & Associate Professor, Department of Mathematics, Loyola College, Chennai 2 Ph.D Research Scholar, Department of Mathematics, Loyola College, Chennai Email: hanivictor@ymail.com,ashu.8788@gmail.com Abstract - Family, as a social institution and as the fundamental unit of the society, plays a vital role in forming persons. We become full-fledged members of the society through the process of socialization which starts in the family. It provides the first foundational formation of personhood. Especially in traditional societies like India the role of the family assumes even greater importance. We learn to differentiate and to discriminate between man and woman from the role our parents play. In this paper we analyze the role of the family in constructing gender roles using Combined Overlap Block Fuzzy Cognitive Maps. Keywords - Fuzzy, Fuzzy Cognitive Maps, Combined FCM, Gender role, women empowerment, violence against women. I. INTRODUCTION Gender refers to the identification of the sexes usually influenced by cultural factors like religion, politics social factors and education. Fafunwa (1974), who analysed the role of women in the African society, defines the traditional roles of women to be mainly that of childbearing, housekeeping and the sustenance of agricultural activities. A. The Role of a Family Family, as a social system and the fundamental unit of society, plays vital role in building persons. In provides the first foundational formation of personhood. It teaches what a person is, what a boy is or what a girl is. As a social institution it is also vulnerable to all kinds of social prejudices and stereotypes, which it acquires from the society and teaches them to the members of the society. Thus it plays a vital role in constructing gender roles and gender relations. We first learn to distinguish and discriminate men from women in family by looking at the roles our parents play. As a Tamil poem says the child learns to call her father when newspaper man comes and call her mother when milkman comes without anyone to teach her so. A recent survey, quoted in Unicef’s report, found that 57 percent of adolescent Indian boys (15-19 years) justified wife-beating by husbands as compared to 53 percent female adolescents during 2002-2010. This clearly shows the importance of the role played by social institutions like family in defining and determining gender roles. In this paper we analyze the role of the family in gender roles and gender relations. For this we interviewed 25 families in Chennai. We use Combined Overlap Block Fuzzy Cognitive Maps (COBFCM). II. FUNDAMENTALS OF COMBINED OVERLAP BLOCK FCM In this section we just recall that the fundamentals of Fuzzy cognitive maps A. Definition An FCM is a directed graph with concepts like policies, events etc. as nodes and causalities as edges. It represents causal relationship between concepts. B. Definition When the nodes of the FCM are fuzzy sets then they are called as fuzzy nodes. C. Definition FCMs with edge weights or causalities from the set {-1, 0, 1} are called simple FCMs. D. Definition The edges eij take values in the fuzzy causal interval [–1, 1]. eij = 0 indicates no causality, eij > 0 indicates causal increase Cj increases as Ci increases (or Cj decreases as Ci decreases). eij < 0 indicates causal decrease or negative causality. Cj decreases as Ci increases (and or Cj increases as Ci decreases). Simple FCMs have edge values in {–1, 0, 1}. Then if causality occurs, it occurs to a maximal positive or negative degree. Simple FCMs provide a quick first approximation to an expert stand or printed causal knowledge. If increase (or decrease) in one concept leads to increase (or decrease) in another, then we give the value 1. If there exists no relation between two concepts, the value 0 is given. If increase (or decrease) in one concept decreases (or increases) another, then we give the value –1. Thus FCMs are described in this way. Consider the nodes or concepts C1 , , Cn of the FCM. Suppose the directed graph is drawn using edge weight eij {0, 1, -1}. The matrix E be defined by E = (eij), where eij is the weight of the directed edge CiCj. E is called the adjacency matrix of the FCM,also known as the connection matrix of the FCM. It is important to note that all matrices associated with an FCM are always square matrices with diagonal entries as zero. E. Definition
  • 2. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications Volume: 02 Issue: 02 December 2013 Page No.67-70 ISSN: 2278-2419 68 Let C1, C2,… , Cn be the nodes of an FCM. Let A= (a1, a2,.. , an), where ai ( )i j {0,1}. A is called the instantaneous state vector and it denotes the on-off position of the node at an instant. ai = 0 if ai is off ai = 1 if ai is on, where i = 1, 2, , n. F. Definition Let C1, C2,…, Cn be the nodes of and FCM. Let 1 2 2 3 3 4 , , , ..., i j C C C C C C C C be the edges of the FCM ( )i j . Then the edges form a directed cycle. An FCM is said to be cyclic if it possesses a directed cyclic. An FCM is said to be acyclic if it does not possess any directed cycle. G. Definition An FCM with cycles is said to have a feedback. H. Definition When there is a feedback in an FCM, i.e., when the causal relations flow through a cycle in a revolutionary way, the FCM is called a dynamical system. I. Definition Let 1 2 2 3 3 4 1 , , ,..., n n C C C C C C C C be a cycle. When Ci is switched on and if the causality flows through the edges of a cycle and if it again causes Ci, we say that the dynamical system goes round and round. This is true for any node Ci, for i =1, 2,…, n. The equilibrium state for this dynamical system is called the hidden pattern. J. Definition If the equilibrium state of a dynamical system is a unique state vector, then it is called a fixed point. Consider an FCM with C1, C2,…, Cn as nodes. For example let us start the dynamical system by switching on C1. Let us assume that the FCM settles down with C1 and Cn on i.e., the state vector remain as (1, 0, 0,…, 1). This state vector (1, 0, …, 0, 1) is called the fixed point. K. Definition If the FCM settles down with a state vector repeating in the form A1→A2→…→Ai→A1 then this equilibrium is called a limit cycle of the FCM. L. Definition Finite number of FCMs can be combined together to produce the joint effect of all the FCMs. Let E1, E2, , Ep be adjacency matrices of the FCMs with nodes C1, C2, , Cn, then the combined FCM is got by adding all the adjacency matrices E1,… , Ep. We denote the combined FCM adjacency matrix by E = E1 + E2 + …+ Ep. M. Definition Let P be the problem under investigation. Suppose let {C1, C2, ...,Cn} be n concepts associated with P (n very large) . Now divide the number of concepts {C1, C2, ...,Cn} into classes S1,...,St where the classes are such that (i) Si Si+1 Ø where (i = 1,2,...,t-1) (ii) Si = { C1, C2, ...,Cn } (iii) |Si| |Sj| if i j in general. Now we obtain the FCM associated with each of the classes S1, …, St. We determine the relational matrix associated with each Si. Using these matrices we obtain a n × n matrix. This n × n matrix is the matrix associated with the Combined Overlap Block FCM (COBFCM) of blocks of same sizes. III. ADAPTATION OF COBFCM TO THE PROBLEM Using the linguistic questionnaire and the experts opinion we have taken the following eight concepts {C1, C2, ...,C8}. These concepts are taken as the main nodes for our problem. C1 – Sex-selective preferences for boy child C2– Using ‘gender-sensitive statements’ in the family C3 – Assigning ‘gender-specific’ works C4 – Social status enjoyed by the family C5 – Religious background C6 – The role of siblings and relatives C7 – Cultural values/stereotypes. C8 – Educational status Now we proceed on to apply the effect of combined overlap block FCM of equal length. Let us consider the eight concepts {C1, C2, ...,C8}. We divide these concepts into cyclic way of classes, each having just four concepts in the following way: S1, = {C1, C2, C3, C4,}, S2 ={C3, C4, C5,C6}, S3 = {C5,C6, C7 , C8, }, S4 ={ C7, C8, C1, C2}. The directed graph and the relation matrix for the class S1 = {C1, C2, C3, C4,} given by the expert are as follows: C1 C3 C2 C4 Fig 1 1 0 1 1 1 1 0 1 1 0 1 0 0 1 1 1 0 s             The directed graph and the relation matrix for the class S2 = {C3, C4, C5,C6} given by the expert are as follows:
  • 3. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications Volume: 02 Issue: 02 December 2013 Page No.67-70 ISSN: 2278-2419 69 C3 C5 C4 C6 Fig 2 2 0 0 0 1 1 0 0 1 1 0 0 1 1 1 0 0 s             The directed graph and the relation matrix for the class S3 = {C5, C6, C7, C8} given by the expert is as follows: C5 C7 C6 C8 Fig 3 3 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 0 s             The directed graph and the relation matrix for the class S4 ={ C7, C8, C1, C2} given by the expert are as follows: C7 C1 C8 C2 Fig 4 4 0 1 1 1 0 0 1 1 1 1 0 1 1 0 1 0 s             Now using the matrix A of the Combined overlap block FCM we determine the hidden pattern. Suppose the concept C1 is in the ON state and all the nodes are in the OFF state. Let the initial input vector be X = (1 0 0 0 0 0 0 0 ), where Sex- selective preference for boy child is taken as the ON state and all other nodes are in the OFF state. The combined directed graph and combined overlap block FCM of equal sizes is are follows: C3 C1 C4 C2 C5 C6 C7 C8 Fig 5 1 2 3 4 5 6 7 8 c c c c c c c c 1 2 3 4 5 6 7 8 0 2 1 1 0 0 1 1 2 0 1 1 0 0 1 0 0 1 0 0 0 1 0 0 1 1 2 0 0 1 0 0 0 0 1 0 0 2 1 1 0 0 1 1 0 0 1 1 1 1 0 0 0 1 0 2 1 1 0 0 1 1 0 0 c c c c A c c c c                            The effect of X on the dynamical system A is given by: XA = ( 0 2 1 1 0 0 1 1) ↪ ( 1 1 1 1 0 0 1 1) = X1 (say) X1 A = ( 5 6 4 2 1 4 2 3) ↪ ( 1 1 1 1 1 1 1 1) = X2 (say) X2 A = ( 5 6 6 3 1 6 4 5 ) ↪ ( 1 1 1 1 1 1 1 1) = X3 = X2Let us repeat the calculation choosing another input vector X = (0 0 0 0 0 0 0 1), where Educational status of the family is taken as the ON state and all other nodes are in the OFF state. The effect of X on the dynamical system A is given by: XA = ( 1 1 0 0 1 1 0 0) ↪ ( 1 1 0 0 1 1 0 1) = X1 (say) X1 A = ( 3 3 4 3 1 3 4 3) ↪ ( 1 1 1 1 1 1 1 1) = X2 (say) X2 A = ( 5 6 6 3 1 6 4 5) ↪ ( 1 1 1 1 1 1 1 1 ) = X3 = X2(where ↪ denotes the resultant vector after thresholding and updating ), X3 is the hidden pattern, which is the fixed point. Table 1 Input vector Limit point ( 1 0 0 0 0 0 0 0) ( 1 1 1 1 1 1 1 1) ( 0 1 0 0 0 0 0 0) ( 1 1 1 1 1 1 1 1) ( 0 0 1 0 0 0 0 0) ( 1 1 1 1 1 1 1 1) ( 0 0 0 1 0 0 0 0) ( 1 1 1 1 1 1 1 1) (0 0 0 0 1 0 0 0) ( 1 1 1 1 1 1 1 1) ( 0 0 0 0 0 1 0 0) ( 1 1 1 1 1 1 1 1) ( 0 0 0 0 0 0 1 0) ( 1 1 1 1 1 1 1 1) ( 0 0 0 0 0 0 0 1) ( 1 1 1 1 1 1 1 1) IV. CONCLUSION AND SUGGESTIONS From the table above we can easily see that the family plays a role in building gender roles in the society. For various input vector we get the same limit point which means that all these concepts do affect the gender roles. The terms of relationships in a family are taken for granted and the rigidly defined gender roles assigned within a family are hardly refuted. To bring
  • 4. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications Volume: 02 Issue: 02 December 2013 Page No.67-70 ISSN: 2278-2419 70 about a fundamental change in the society at large, one should begin from family.Sex-selective preference for boy child by the parents and the relatives is usually justified by the relative difference in cost spent for the education and marriage of a girl and a boy. Therefore the abolition of dowry system becomes vital to bring about a change in the minds of the parents and relatives.Parents should be trained or instructed over their use of gender sensitive and assignment of gender-specific works statements in the family. As educational status also plays a role in building gender role, education of girl children should be compulsorily promoted. REFERENCES [1] Axelrod, R. (1976), Structure of decision: The cognitive maps of political elites. Princeton, NJ: Princeton University Press. [2] Beal, C. [1994], Boys and Girls: The Development of Gender Roles. New York, NY: mcgraw- Hill. [3] Fafunwa, B.A. (1974), History of Education in Nigeria, London: Allen & Unwin, I974 Pp. 264. [4] Government of India. (2008), India Country Report: To prevent and combat trafficking and commercial sexual exploitation of children and women, World Congress III Against Sexual Exploitation of Children and Adolescents, Rio de Janeiro, Brazil, November 2008. [5] Kandasamy, V.W.B. and A.V. Devadoss. (2004), “Some New Fuzzy Techniques”, Jour. of inst. of Math. & Comp.Sci. (Math.ser.), Vol. 17, No.2, (2004 ), Pp.157- 160. [6] Klir G.J, and B. Yuan. (1997), Fuzzy sets and Fuzzy logic: Theory and Application, Prentice hall of India private limited, New Delhi. [7] Kosko, B.(1986), Fuzzy Cognitive Maps, International Journal of man- machine studies, January,1986, Pp.62-75. [8] UNICEF. (2012), Progress for Children: A report card on Adolescents, 3 United Nations Plaza, New York, NY 10017, USA.