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Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 02 June 2014 Pages: 147-149
ISSN: 2278-2397
147
The Study of Hazards of Plastic Pollution Using
Induced Fuzzy Coginitive Maps (IFCMS)
T. Pathinathan, K. Ponnivalavan,
Department of Mathematics, Loyola College, Chennai, India
Email:Ponnivalavan1986@gmail.com
Abstract - Plastic is one of the chemical materials which poses
Environmental problem. Plastic is made up of various chemical
elements.Therefore, it is regarded as a highly contagious
material that does not easily degrade in the natural
environment after its usage or utility period.Plastic causes
serious damage to environment during its production and
disposal process. Poly ethylene, polyvinyl chloride,
polystyrene are largely used in the manufacture of
Plastics.Hence, this paper analyzes the hazards of Plastic
pollutionusing InducedFuzzy Cognitive Maps (IFCMs).
IFCMs area fuzzy-graph modeling approach based on expert’s
opinion.
Keywords-Induced fuzzy Cognitive Maps (IFCMS),Plastic
Pollution, Health Hazards.
I. INTRODUCTION
Plastic in the Environment is regarded to be more an aesthetic
nuisance than a hazard, since the material is biologically quite
inert.Plastics are used because they are easy and cheap to make
and they can last for a long time. Unfortunately these same
useful qualities can make Plastic a huge pollution problem.
Because the Plastic is cheap it gets discarded easily.But its
persistence in the environment can do a great harm.The United
Nations Environmental Programme(UNEP)2011 yearbook
considers Plastic pollution in the ocean to be one of the three
greatest emerging environmental problems in the world [1].
When exposed to natural elements, Plastic breaks down into
tiny molecules but never fully biodegrades. Plastic is a
commodity that is consumed on a large-scale all around the
world. The production as well as disposal of Plastic, pose a
great threat to all the life forms on earth. This material takes
years to discompose, which is one of the factors that kill many
animals in water as well as on land. During the manufacture of
Plastic, many hazardous chemicals are emitted which has
resulted into dreadful disorders and diseases in humans [2].
Ethylene oxide, xylene and benzene are some of the chemical
toxins present inPlastic that has miserable effects on the
environment.
Any form of Plastic disposal too, causes harm to the
environment in which we dwell. Burning the Plasticcauses
contamination of atmosphere due to the release of poisonous
chemicals [3]. Disposing Plastic into water or land causes
contamination and even increases the mortality rate of animals.
The rural areas are more prone to any kind of pollution due to
poor disposable systems. The people from rural areas often use
Plastic bags and bottles on a large-scale. Unaware of the harm
caused due to Plastic, rural people are a contributing factor to
pollution. Also wind carry and deposit the Plastic from one
place to other, littering the land. It also gets stuck on fences,
trees and water bodies. Any animal that comes in the vicinity
of plastic, might even get tangled and suffocate to death.The
maximum damage is done by Plastic carry bags[4]. Shops
delivering goods in Plastic bags and the people who insist on
having Plastic carry bags when they buy goods are responsible
for Plasticpollution. Therefore Plastic management or Plastic
waste management [5] involves the techniques to be used to
manage the Plastic waste in an environment friendly way and
helping in the proper utilization of Plastic material.This paper
deals withthe environmental hazards a n d s o m e
r e m e d i a l m e a s u r e s f o r Plastic pollution using Induced
Fuzzy Cognitive Maps (IFCMs) based on gathered
information.Section two presents the basic definitions and
section three presents the analysis using the IFCM model. In
fourth section we draw the conclusions from our analysis and
proposed remedial measures.
II. BASIC NOTION AND DEFINITIONS
We proceed to state the definitions of IFCMS model.
A. Definition
FuzzyCognitiveMaps (FCMs) aredigraphsthatcapturethe
cause/effect relationship inasystem. Nodesofthegraphstand
fortheconceptsrepresentingthekey factorsandattributesof the
modeling system, such asinputs, variable states, components
factors,events,actionsof anysystem.Signedweightedarcs
describe thecasual relationships, whichexists amongconcepts
and interconnect them, with adegreeof causality. The
constructed graph clearly shows how concepts influence each
otherandhowmuchthedegreeofinfluenceis. Cognitive Maps
(CMs) wereproposed fordecision making by Axelrod [6][7] for
the firsttime. Using two basic types of elements;concepts and
casual relationship, the cognitive map canbeviewed
asasimplified mathematical model ofabelief
system.FCMswereproposedwiththe extensionof thefuzzified
casualrelationships.
Kosko[7][8],introducedFCMsasfuzzygraph
structuresforrepresenting casualreasoning.Whenthenodesof
theFCMarefuzzysetsthentheyarecalledfuzzynodes.FCMs
withedgeweightsorcausalitiesfromtheset{-1,0, 1} arecalled
simpleFCMs. Consider thenodes/concepts P1,P2,
P3,…,PnoftheFCM.
Supposethedirectedgraphisdrawnusingedgeweighteijfrom {-1,
0, 1}.
B. Definition
Thematrix Mbedefined byM= (eij) whereeijisthe weightof
thedirectededgePiPj.Mis calledthe adjacency
matrixoftheFCM,alsoknownasconnectionmatrix.Thedirected
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 02 June 2014 Pages: 147-149
ISSN: 2278-2397
148
edgeeijfromthecasualconcept Pito concept
PjmeasureshowmuchPicausesPj.Theedgeeijtakesvaluesintherea
linterval[−1,1].eij
=0indicatesnocausality.
eij>0indicatescasualincrease/positivecausality.
eij<0indicatescasualdecrease/negativecausality.
Simple FCMs provide quick first-hand information to an
expert’s stated causal knowledge. Let P1,P2, P3,…,Pnbe the
nodesof FCM. Let A=(a1,a2, …,an) iscalledastate vector
whereeitherai=0or1.Ifai=0,theconceptaiintheOFFstate
andifai=1, theconceptaiintheONstate,fori=1,2, …,n. LetP1P2,
P2P3, …,PiPj.betheedgesoftheFCM
(i ≠ j). Thentheedgesformadirectedcycle.
C . Definition
AnFCMissaidtobecyclicifitpossessesadirectedcycle.
AnFCMwithcyclesis saidtohaveafeedback,whenthereisa
feedbackinanFCM,i.e.,whenthecausalrelationsflowthrough
acycleinarevolutionary way,theFCMiscalledadynamical
system.The equilibrium state for the dynamical system is
called the hidden pattern.If the equilibrium stateofadynamical
state isa uniquestatevector,itiscalledafixedpointorlimitcycle.
Inferencefromthehiddenpatternsummarizesthejointeffectsof
allinteractingfuzzyknowledge.
D. AlgorithmicapproachtoIFCM
EventhoughIFCM isanadvancement ofFCMitfollows
thefoundationof FCM,ithasa slightmodificationonlyin
Algorithmic approaches [9][10][11]. Toderiveanoptimistic
solutiontothe problem with anunsupervised data,the following
steps tobe followed:
Step 1:Forthegivenmodel(problem),collecttheunsupervised
datathatisindeterminantFactorscallednodes.
Step 2: According to the expert opinion, draw the directed
graph.
Step 3: Obtain theconnectionmatrix, M,from the directed graph
(FCM). Herethenumber ofrowsinthegivenmatrix =
numberofstepstobeperformed.
Step 4: Consider thestatevector S(X1). By setting
1
c inONposition thatisassigningthefirst
componentofthevectortobe1andthe rest of
thecomponents as 0.Find S(X1) × M.The state vector
isupdated and thresholdat eachstage.
Step 5: Threshold value is calculated by assigning 1 for the
values>0and0forthevalues<1.Thesymbol‘↪’represents
thethresholdvaluefortheproductoftheresult.
Step 6:Now eachcomponent in theC1vectoris taken
separatelyand productof the givenMatrixis calculated.
The vector which has maximum number of one’sis
found. The vectorwithmaximumnumberof
one’swhichoccursfirstis consideredasC2.
Step7:Whenthesamethresholdvalueoccurstwice.Thevalue
isconsideredasthefixedPoint.Theiterationgetsterminated
Step8:ConsiderthestatevectorC1bysettingC2inONstatethatisassi
gningthesecondcomponentofthevectortobe1andthe rest
of thecomponents as 0. Precedethe calculations
discussedinSteps4to6.
Step9:Continue Step9 for all the state vectors and find hidd
pattern.
III. ANALYSIS USING IFCMS MODEL
We take the following attributes in the case of Environmental
Hazards:
C1- Plastics blocks the open sewage system and results in
stagnation of sewage water, becomes breeding place for
mosquitoes which leads to the spread of water and air borne
diseases.
C2- Plastics dumped on the soil prevents water percolation into
the ground, reduces ground water level and also the poison in
the waste Plastics mix with rain water, seep through the ground
and drain into nearby streams and lakes.
C3- Burning of Plastics results in releasing of toxins in the
atmosphere which causes dreaded diseases like cancer and
associated with skin, respiratory problems by exposure and
inhalation of toxic fumes.
C4- Due to improper disposal systems,many cattle’s and other
animals consuming Plastics results in ending of their life. Birds
are also affected by eating Plastics.
C5- Plastic waste dumped into rivers, find its way to ocean and
seas affects the marine life. Marine creatures such as dolphins,
turtles, whales, penguins are killed every year by these Plastics.
Many animals mistaking them as food and the ingested Plastics
remain after death and decomposition of the animals.
C6-The Manufactures of Plastics dispose the Plastic waste and
chemicals used in the process of manufacturing Plastic material
into water channels causing health hazards to living organisms
in and around it.
C7-Plastics which affect the marine life in turn pose a direct
threat to human beings who consume fish that have taken
Plastics.
C8-InPlastic manufacturing, it releases chemicals such as
Biphenyl, Styrene Trimer and Styrene Monomer, which alters
the reproductive systems of human beings.
According toan Ecologist opinion, the same set of 8 attributes
has been converted into a connection matrix M.
Analysis using IFCMS:
Step 1:
Let C1 (1 0 0 0 0 0 0 0)
C1 M= (0 1 0 0 0 0 0 0) = C1'
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 02 June 2014 Pages: 147-149
ISSN: 2278-2397
149
C1'M≈
(0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0) = C2
C2 M = (1 0 0 1 1 0 1 0) M = (1 2 0 2 2 2 2 1)
↪ (1 1 0 1 1 1 1 1 ) = C2'
C2' M≈
(1 0 0 0 0 0 0 0)M= (0 1 0 0 0 0 0 0)
(0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0)
(0 0 0 1 0 0 0 0)M= (1 1 0 0 1 1 1 0) = C3
(0 0 0 0 1 0 0 0)M= (0 0 0 0 0 1 1 0)
(0 0 0 0 0 1 0 0)M= (0 1 0 0 0 0 0 1)
(0 0 0 0 0 0 1 0)M= (0 0 0 0 1 0 0 1)
(0 0 0 0 0 0 0 1)M= (0 0 1 1 0 1 0 0)
C3M = (1 1 1 0 0 1 1 1)M = (1 2 0 1 2 1 2 2)
(1 1 0 1 1 1 1 1 )= C3'
C3 'M ≈
(1 0 0 0 0 0 0 0)M= (0 1 0 0 0 0 0 0)
(0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0)
(0 0 0 1 0 0 0 0)M= (1 1 0 0 1 1 1 0) = C3
(0 0 0 0 1 0 0 0)M= (0 0 0 0 0 1 1 0)
(0 0 0 0 0 1 0 0)M= (0 1 0 0 0 0 0 1)
(0 0 0 0 0 0 1 0)M= (0 0 0 0 1 0 0 1)
(0 0 0 0 0 0 0 1)M= (0 0 1 1 0 1 0 0)
(1 1 0 0 1 1 1 0) is the fixed point and the triggering pattern is
C1→ C2 → C4→C4when the first attribute is kept in on state. The
following table gives the triggering patterns when other
attributes are kept in ON state consecutively.
Table-1 Induced Patterns for M by IFCM
Merging all these induced graphs on a single graph, we obtain
the following graph.
Fig 1: Induced graphs on a merged graph
The interrelationship between the attributes
revealsthatC2[- Plastics dumped on the soil prevents water
percolation into the ground, reduces ground water level and
also the poison in the waste Plastics mix with rain water, seep
through the ground and drain into nearby streams and lakes],
C4 [Due to improper disposal systems, many cattle’s and other
animals consuming Plastics results in ending of their life. Birds
are also affected by eating Plastics] and C8 [In Plastic
manufacturing, it releases chemicals such as Biphenyl, styrene
Trimer and styrene Monomer, which alters the reproductive
systems of human beings]plays theimportant rolein this
study.Thelimitpointscorresponding toC2(10011010),
C4(11001110) and C8(00110100)highlights almost
alltheattributes which seems to be major causes of Plastic
pollution.
IV. CONCLUSION
It requires self-discipline to solve this Plastic pollution caused
by using Plastic things in our day today life. Our Dependence
on the private organization and government will not solve
these problems.The useof Plastic is a part of human
need.Therefore, we have to follow some simple ways to solve
this existing problem. So, we suggest the following remedial
measures.Limited usage of Plastic carry bags will help the
environment free from pollution.Using glass bottles, cloth and
paper bags which are biodegradable and recyclable will reduce
Plastic pollution.Using Plastic carry bags again and again for
our daily shopping, instead of throwing them out in the first
use itself will reduce the manufacture of Plastic carry bags.
Collect all waste Plastics in our home and donate it to the
recycling centers, will help road constructions, save cattle’s life
and also prevents other pollutions.Avoid burning the things
made up of Plasticswhich will help us to control the air
pollution and also by doing so our respiratory disease gets
reduced.
REFERENCES
[1] http:/www.buzzle.com/articles/effects-of-plastic-pollution.html.
[2] AruniBhatnagar, Environmental Cardiology, RSCPublishing, 2002.
[3] http://articles.timesofindia.indiatimes.com/2009-08-
19/chennai/28208871 plastic-bags-plastic-waste-thin-Plastics.
[4] P.Aarnevesilind, Controlling Environmental Pollution, DEStech
Publications May2005.
[5] http://exnora.in/pg/pages/view/8161.
[6] Axelrod. R., Structure of Decision, the cognitive maps of Political
Elites, rinceton, NJ: Princeton University Press, (1976).
[7] Kosko, B., January, “Fuzzy Cognitive Maps”, International journal of
man-machine studies, pp.62-75, (1986).
[8] Klir, G.J. and Folger,T.A., Fuzzy Sets, Uncertainty and Information,
Prentice Hall, Englewood, Cliffs. N.J.1988.
[9] Vasantha,W.B., and Pathinathan,T., “LinkedFuzzy Cognitive Maps to
study the relationbetween migration and school dropouts in
TamilNadu”. Ultra. Sci.17, 3(M), Dec., pp. 441-465,2005.
[10] Vasantha, W.B., .Pathinathan,T. and John M.Mary, “ School
environment: A cause forincrease in School Dropouts – Fuzzy
Analysis”,Proc. of the State Level Seminar on IndustrialMathematics,
pp.127-136, Nov.2005.
[11] Pathinathan,T. Thirusangu.K. and John M.Mary“On causes for school
dropouts- A fuzzyanalysis”.(Accepted for publication in
ActaCienciaIndica).
[12] B.B Hosetti, Prospects and Perspective of solid waste management.,
New Age International Publishers,2006.
Number Attribute ON state Triggering pattern
Step1 C1 C1→ C2 → C4→C4
Step2 C2 C2 → C4→C4
Step3 C3 C3→ C8 → C8
Step4 C4 C4 → C2→C4
Step5 C5 C5→ C6 → C6
Step6 C6 C6→ C2→C2
Step7 C7 C7 → C8→C8
Step8 C8 C8 → C4→C4

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The Study Of Hazards of Pastic Pollution Using Induced Fuzzy Cognitive Maps (IFCMS)

  • 1. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 02 June 2014 Pages: 147-149 ISSN: 2278-2397 147 The Study of Hazards of Plastic Pollution Using Induced Fuzzy Coginitive Maps (IFCMS) T. Pathinathan, K. Ponnivalavan, Department of Mathematics, Loyola College, Chennai, India Email:Ponnivalavan1986@gmail.com Abstract - Plastic is one of the chemical materials which poses Environmental problem. Plastic is made up of various chemical elements.Therefore, it is regarded as a highly contagious material that does not easily degrade in the natural environment after its usage or utility period.Plastic causes serious damage to environment during its production and disposal process. Poly ethylene, polyvinyl chloride, polystyrene are largely used in the manufacture of Plastics.Hence, this paper analyzes the hazards of Plastic pollutionusing InducedFuzzy Cognitive Maps (IFCMs). IFCMs area fuzzy-graph modeling approach based on expert’s opinion. Keywords-Induced fuzzy Cognitive Maps (IFCMS),Plastic Pollution, Health Hazards. I. INTRODUCTION Plastic in the Environment is regarded to be more an aesthetic nuisance than a hazard, since the material is biologically quite inert.Plastics are used because they are easy and cheap to make and they can last for a long time. Unfortunately these same useful qualities can make Plastic a huge pollution problem. Because the Plastic is cheap it gets discarded easily.But its persistence in the environment can do a great harm.The United Nations Environmental Programme(UNEP)2011 yearbook considers Plastic pollution in the ocean to be one of the three greatest emerging environmental problems in the world [1]. When exposed to natural elements, Plastic breaks down into tiny molecules but never fully biodegrades. Plastic is a commodity that is consumed on a large-scale all around the world. The production as well as disposal of Plastic, pose a great threat to all the life forms on earth. This material takes years to discompose, which is one of the factors that kill many animals in water as well as on land. During the manufacture of Plastic, many hazardous chemicals are emitted which has resulted into dreadful disorders and diseases in humans [2]. Ethylene oxide, xylene and benzene are some of the chemical toxins present inPlastic that has miserable effects on the environment. Any form of Plastic disposal too, causes harm to the environment in which we dwell. Burning the Plasticcauses contamination of atmosphere due to the release of poisonous chemicals [3]. Disposing Plastic into water or land causes contamination and even increases the mortality rate of animals. The rural areas are more prone to any kind of pollution due to poor disposable systems. The people from rural areas often use Plastic bags and bottles on a large-scale. Unaware of the harm caused due to Plastic, rural people are a contributing factor to pollution. Also wind carry and deposit the Plastic from one place to other, littering the land. It also gets stuck on fences, trees and water bodies. Any animal that comes in the vicinity of plastic, might even get tangled and suffocate to death.The maximum damage is done by Plastic carry bags[4]. Shops delivering goods in Plastic bags and the people who insist on having Plastic carry bags when they buy goods are responsible for Plasticpollution. Therefore Plastic management or Plastic waste management [5] involves the techniques to be used to manage the Plastic waste in an environment friendly way and helping in the proper utilization of Plastic material.This paper deals withthe environmental hazards a n d s o m e r e m e d i a l m e a s u r e s f o r Plastic pollution using Induced Fuzzy Cognitive Maps (IFCMs) based on gathered information.Section two presents the basic definitions and section three presents the analysis using the IFCM model. In fourth section we draw the conclusions from our analysis and proposed remedial measures. II. BASIC NOTION AND DEFINITIONS We proceed to state the definitions of IFCMS model. A. Definition FuzzyCognitiveMaps (FCMs) aredigraphsthatcapturethe cause/effect relationship inasystem. Nodesofthegraphstand fortheconceptsrepresentingthekey factorsandattributesof the modeling system, such asinputs, variable states, components factors,events,actionsof anysystem.Signedweightedarcs describe thecasual relationships, whichexists amongconcepts and interconnect them, with adegreeof causality. The constructed graph clearly shows how concepts influence each otherandhowmuchthedegreeofinfluenceis. Cognitive Maps (CMs) wereproposed fordecision making by Axelrod [6][7] for the firsttime. Using two basic types of elements;concepts and casual relationship, the cognitive map canbeviewed asasimplified mathematical model ofabelief system.FCMswereproposedwiththe extensionof thefuzzified casualrelationships. Kosko[7][8],introducedFCMsasfuzzygraph structuresforrepresenting casualreasoning.Whenthenodesof theFCMarefuzzysetsthentheyarecalledfuzzynodes.FCMs withedgeweightsorcausalitiesfromtheset{-1,0, 1} arecalled simpleFCMs. Consider thenodes/concepts P1,P2, P3,…,PnoftheFCM. Supposethedirectedgraphisdrawnusingedgeweighteijfrom {-1, 0, 1}. B. Definition Thematrix Mbedefined byM= (eij) whereeijisthe weightof thedirectededgePiPj.Mis calledthe adjacency matrixoftheFCM,alsoknownasconnectionmatrix.Thedirected
  • 2. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 02 June 2014 Pages: 147-149 ISSN: 2278-2397 148 edgeeijfromthecasualconcept Pito concept PjmeasureshowmuchPicausesPj.Theedgeeijtakesvaluesintherea linterval[−1,1].eij =0indicatesnocausality. eij>0indicatescasualincrease/positivecausality. eij<0indicatescasualdecrease/negativecausality. Simple FCMs provide quick first-hand information to an expert’s stated causal knowledge. Let P1,P2, P3,…,Pnbe the nodesof FCM. Let A=(a1,a2, …,an) iscalledastate vector whereeitherai=0or1.Ifai=0,theconceptaiintheOFFstate andifai=1, theconceptaiintheONstate,fori=1,2, …,n. LetP1P2, P2P3, …,PiPj.betheedgesoftheFCM (i ≠ j). Thentheedgesformadirectedcycle. C . Definition AnFCMissaidtobecyclicifitpossessesadirectedcycle. AnFCMwithcyclesis saidtohaveafeedback,whenthereisa feedbackinanFCM,i.e.,whenthecausalrelationsflowthrough acycleinarevolutionary way,theFCMiscalledadynamical system.The equilibrium state for the dynamical system is called the hidden pattern.If the equilibrium stateofadynamical state isa uniquestatevector,itiscalledafixedpointorlimitcycle. Inferencefromthehiddenpatternsummarizesthejointeffectsof allinteractingfuzzyknowledge. D. AlgorithmicapproachtoIFCM EventhoughIFCM isanadvancement ofFCMitfollows thefoundationof FCM,ithasa slightmodificationonlyin Algorithmic approaches [9][10][11]. Toderiveanoptimistic solutiontothe problem with anunsupervised data,the following steps tobe followed: Step 1:Forthegivenmodel(problem),collecttheunsupervised datathatisindeterminantFactorscallednodes. Step 2: According to the expert opinion, draw the directed graph. Step 3: Obtain theconnectionmatrix, M,from the directed graph (FCM). Herethenumber ofrowsinthegivenmatrix = numberofstepstobeperformed. Step 4: Consider thestatevector S(X1). By setting 1 c inONposition thatisassigningthefirst componentofthevectortobe1andthe rest of thecomponents as 0.Find S(X1) × M.The state vector isupdated and thresholdat eachstage. Step 5: Threshold value is calculated by assigning 1 for the values>0and0forthevalues<1.Thesymbol‘↪’represents thethresholdvaluefortheproductoftheresult. Step 6:Now eachcomponent in theC1vectoris taken separatelyand productof the givenMatrixis calculated. The vector which has maximum number of one’sis found. The vectorwithmaximumnumberof one’swhichoccursfirstis consideredasC2. Step7:Whenthesamethresholdvalueoccurstwice.Thevalue isconsideredasthefixedPoint.Theiterationgetsterminated Step8:ConsiderthestatevectorC1bysettingC2inONstatethatisassi gningthesecondcomponentofthevectortobe1andthe rest of thecomponents as 0. Precedethe calculations discussedinSteps4to6. Step9:Continue Step9 for all the state vectors and find hidd pattern. III. ANALYSIS USING IFCMS MODEL We take the following attributes in the case of Environmental Hazards: C1- Plastics blocks the open sewage system and results in stagnation of sewage water, becomes breeding place for mosquitoes which leads to the spread of water and air borne diseases. C2- Plastics dumped on the soil prevents water percolation into the ground, reduces ground water level and also the poison in the waste Plastics mix with rain water, seep through the ground and drain into nearby streams and lakes. C3- Burning of Plastics results in releasing of toxins in the atmosphere which causes dreaded diseases like cancer and associated with skin, respiratory problems by exposure and inhalation of toxic fumes. C4- Due to improper disposal systems,many cattle’s and other animals consuming Plastics results in ending of their life. Birds are also affected by eating Plastics. C5- Plastic waste dumped into rivers, find its way to ocean and seas affects the marine life. Marine creatures such as dolphins, turtles, whales, penguins are killed every year by these Plastics. Many animals mistaking them as food and the ingested Plastics remain after death and decomposition of the animals. C6-The Manufactures of Plastics dispose the Plastic waste and chemicals used in the process of manufacturing Plastic material into water channels causing health hazards to living organisms in and around it. C7-Plastics which affect the marine life in turn pose a direct threat to human beings who consume fish that have taken Plastics. C8-InPlastic manufacturing, it releases chemicals such as Biphenyl, Styrene Trimer and Styrene Monomer, which alters the reproductive systems of human beings. According toan Ecologist opinion, the same set of 8 attributes has been converted into a connection matrix M. Analysis using IFCMS: Step 1: Let C1 (1 0 0 0 0 0 0 0) C1 M= (0 1 0 0 0 0 0 0) = C1'
  • 3. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 02 June 2014 Pages: 147-149 ISSN: 2278-2397 149 C1'M≈ (0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0) = C2 C2 M = (1 0 0 1 1 0 1 0) M = (1 2 0 2 2 2 2 1) ↪ (1 1 0 1 1 1 1 1 ) = C2' C2' M≈ (1 0 0 0 0 0 0 0)M= (0 1 0 0 0 0 0 0) (0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0) (0 0 0 1 0 0 0 0)M= (1 1 0 0 1 1 1 0) = C3 (0 0 0 0 1 0 0 0)M= (0 0 0 0 0 1 1 0) (0 0 0 0 0 1 0 0)M= (0 1 0 0 0 0 0 1) (0 0 0 0 0 0 1 0)M= (0 0 0 0 1 0 0 1) (0 0 0 0 0 0 0 1)M= (0 0 1 1 0 1 0 0) C3M = (1 1 1 0 0 1 1 1)M = (1 2 0 1 2 1 2 2) (1 1 0 1 1 1 1 1 )= C3' C3 'M ≈ (1 0 0 0 0 0 0 0)M= (0 1 0 0 0 0 0 0) (0 1 0 0 0 0 0 0)M= (1 0 0 1 1 0 1 0) (0 0 0 1 0 0 0 0)M= (1 1 0 0 1 1 1 0) = C3 (0 0 0 0 1 0 0 0)M= (0 0 0 0 0 1 1 0) (0 0 0 0 0 1 0 0)M= (0 1 0 0 0 0 0 1) (0 0 0 0 0 0 1 0)M= (0 0 0 0 1 0 0 1) (0 0 0 0 0 0 0 1)M= (0 0 1 1 0 1 0 0) (1 1 0 0 1 1 1 0) is the fixed point and the triggering pattern is C1→ C2 → C4→C4when the first attribute is kept in on state. The following table gives the triggering patterns when other attributes are kept in ON state consecutively. Table-1 Induced Patterns for M by IFCM Merging all these induced graphs on a single graph, we obtain the following graph. Fig 1: Induced graphs on a merged graph The interrelationship between the attributes revealsthatC2[- Plastics dumped on the soil prevents water percolation into the ground, reduces ground water level and also the poison in the waste Plastics mix with rain water, seep through the ground and drain into nearby streams and lakes], C4 [Due to improper disposal systems, many cattle’s and other animals consuming Plastics results in ending of their life. Birds are also affected by eating Plastics] and C8 [In Plastic manufacturing, it releases chemicals such as Biphenyl, styrene Trimer and styrene Monomer, which alters the reproductive systems of human beings]plays theimportant rolein this study.Thelimitpointscorresponding toC2(10011010), C4(11001110) and C8(00110100)highlights almost alltheattributes which seems to be major causes of Plastic pollution. IV. CONCLUSION It requires self-discipline to solve this Plastic pollution caused by using Plastic things in our day today life. Our Dependence on the private organization and government will not solve these problems.The useof Plastic is a part of human need.Therefore, we have to follow some simple ways to solve this existing problem. So, we suggest the following remedial measures.Limited usage of Plastic carry bags will help the environment free from pollution.Using glass bottles, cloth and paper bags which are biodegradable and recyclable will reduce Plastic pollution.Using Plastic carry bags again and again for our daily shopping, instead of throwing them out in the first use itself will reduce the manufacture of Plastic carry bags. Collect all waste Plastics in our home and donate it to the recycling centers, will help road constructions, save cattle’s life and also prevents other pollutions.Avoid burning the things made up of Plasticswhich will help us to control the air pollution and also by doing so our respiratory disease gets reduced. REFERENCES [1] http:/www.buzzle.com/articles/effects-of-plastic-pollution.html. [2] AruniBhatnagar, Environmental Cardiology, RSCPublishing, 2002. [3] http://articles.timesofindia.indiatimes.com/2009-08- 19/chennai/28208871 plastic-bags-plastic-waste-thin-Plastics. [4] P.Aarnevesilind, Controlling Environmental Pollution, DEStech Publications May2005. [5] http://exnora.in/pg/pages/view/8161. [6] Axelrod. R., Structure of Decision, the cognitive maps of Political Elites, rinceton, NJ: Princeton University Press, (1976). [7] Kosko, B., January, “Fuzzy Cognitive Maps”, International journal of man-machine studies, pp.62-75, (1986). [8] Klir, G.J. and Folger,T.A., Fuzzy Sets, Uncertainty and Information, Prentice Hall, Englewood, Cliffs. N.J.1988. [9] Vasantha,W.B., and Pathinathan,T., “LinkedFuzzy Cognitive Maps to study the relationbetween migration and school dropouts in TamilNadu”. Ultra. Sci.17, 3(M), Dec., pp. 441-465,2005. [10] Vasantha, W.B., .Pathinathan,T. and John M.Mary, “ School environment: A cause forincrease in School Dropouts – Fuzzy Analysis”,Proc. of the State Level Seminar on IndustrialMathematics, pp.127-136, Nov.2005. [11] Pathinathan,T. Thirusangu.K. and John M.Mary“On causes for school dropouts- A fuzzyanalysis”.(Accepted for publication in ActaCienciaIndica). [12] B.B Hosetti, Prospects and Perspective of solid waste management., New Age International Publishers,2006. Number Attribute ON state Triggering pattern Step1 C1 C1→ C2 → C4→C4 Step2 C2 C2 → C4→C4 Step3 C3 C3→ C8 → C8 Step4 C4 C4 → C2→C4 Step5 C5 C5→ C6 → C6 Step6 C6 C6→ C2→C2 Step7 C7 C7 → C8→C8 Step8 C8 C8 → C4→C4