Happiness is subjective. It is difficult to compare one
person’s happiness with another. It can be especially difficult
to compare happiness across cultures. The function of man is
to live a certain kind of life and this activity implies a rational
principle. The function of a good man is the good and noble
performance. If any action is well performed it is performed in
accord with the appropriate excellence. If this is the case, then
happiness turns out to be an activity of the soul in accordance
with virtue. That is happiness as the exercise of virtue. Every
human being thinks happiness in his own perspective.
Everyone wants to be happy and searching happiness in all
their activities. Happiness is typically measured using
subjective measures. Happiness cannot be defined in terms of
rigid boundaries and it is a vague term and it is appropriate to
use Fuzzy Logic. In particular, we use Fuzzy Cognitive
Mapping to find the key motive of happiness. This paper
consists of four sections. The first section is of inductive
nature about happiness. The section two introduces the
concept of Fuzzy Cognitive Mapping (FCMs). In section three
Fuzzy Cognitive Mapping applied on the concept of
Happiness. Section four gives the conclusions and
suggestions
Well-being has been defined as the combination of feeling good and functioning well; the experience of positive emotions such as happiness and contentment as well as the development of one's potential, having some control over one's life, having a sense of purpose, and experiencing positive relationships
Well-being has been defined as the combination of feeling good and functioning well; the experience of positive emotions such as happiness and contentment as well as the development of one's potential, having some control over one's life, having a sense of purpose, and experiencing positive relationships
What role should education play in creating happiness? A keynote presentation given by Patrick Blessinger at the 2013 Felicitology Conference in Khabarovsk, Russia
GNH- Psychological Well-Being in Relation with Buddhismijcnes
Gross National Happiness (GNH) � introduced as a new measurement of national prosperity, focusing on people�s well-being rather than economic productivity. This paper talks about how Buddhism is associated with happiness (psychological well-being). The Buddhist understanding of happiness is much broader. It is a holistic reflection of the general well-being. Happiness and prosperity does not come through accumulation of wealth rather happiness comes from mental well-being (i.e. psychological well-being).
This riport is edited by John Helliwell, Richard Layard and Jeffrey Sachs.
TABLE OF CONTENTS
1. Introduction
2. World Happiness: Trends, Explanations and Distribution
3. Mental Illness and Unhappiness
4. The Objective Benefits of Subjective Well-Being
5. Restoring Virtue Ethics in the Quest for Happiness
6. Using Well-being as a Guide to Policy
7. The OECD Approach to Measuring Subjective Well-Being
8. From Capabilities to Contentment: Testing the Links
Between Human Development and Life Satisfaction
Your Life Satisfaction Score (beta) is an indicator of how you thrive in your life: it reflects how well you shape your lifestyle, habits and behaviors to maximize your overall life satisfaction along the five following dimensions:
►1. Health & fitness, reflecting your physical well-being and healthy habits;
►2. Positive emotions & gratitude, indicating how well you embrace positive emotions;
►3. Skills & expertise, measuring the ability to grow your expertise and achieve something unique;
►4. Social skills & discovery, assessing the strength of your network and your inclination to discover the world;
►5. Leadership & meaning, gauging your compassion, generosity and how much 'you are living the life of your dream'.
Visit www.Authentic-Happiness.com to check your Life Satisfaction score. Free, no registration required.
You need to enable JavaScript to run this app..docxadkinspaige22
You need to enable JavaScript to run this app.
Print Originality ReportDownload Originality ReportSafeAssign Originality ReportPSY/225: Positive Psychology•Wk 3 - Happiness Paper [due Mon]•Submitted on Fri, Jun 19, 2020, 2:07 PMView Originality Report - Old DesignGbenga Adeogun
View Report Summary
Happiness Paper
According to the Bhutanese, happiness is achieved when people devolve their lives to a simpler and more meaningful existence that does not revolve around material possession.
Attaining happiness, according to them, is very simple as it only requires one to be fully satisfied with what they currently have.
The Bhutanese believe that the goal, or rather the secret to happiness is to strive to always enjoy the little that life has blessed one with.
Being content is thus the ultimate form of happiness according to the Bhutanese.
The Bhutanese also view happiness as a skill that is cultivated and starts by learning to let go of things, forgiving others, and freeing oneself from negative emotions such as pride, hatred, and greed.
Additionally, the Bhutanese recognize that collective happiness is far more important than personal reward (Lhamu, 2019).
Showing kindness, love, and gratitude to others is a major step towards building a happy and harmonious society, and one should not expect anything in reward by doing so.
From the video, happiness is described as something you cannot buy and when one fully understands the dynamics of happiness, it becomes easier to live by it.
This revelation is important as it echoes the Bhutanese view that the best form of happiness comes from within and not from external influences such as material things.
These sentiments also affirm that happiness is achievable and that anyone can experience it when they set their minds to it.
From the video, Dr.
Ed Diener (2008) suggests that being happy does not necessarily mean always exhibiting euphoria.
This is an important point since many people tend to think that a person who constantly portrays a dull face is unhappy, which is a misguided interpretation of what being happy really means.
How the Bhutanese and the American culture perceive a good life is quite different.
While the Bhutanese do not associate a good life with the material aspect of things, the opposite is the case in the American culture (Sithey et al., 2015).
People in the American culture are constantly pushing to have a better version of what they already house, be it a better car, a better house, a better job, and so forth.
To add to that, always staying relaxed, peaceful and having a good relationship with others are the major constituents of a good life according to the Bhutanese, which is different from the American culture where a good life is perceived as the outcome of being aggressive in going after what one desires.
References
1
Canadian Broadcasting Corp.(2008). Positive Psychology (03:59) [Video file] in How to Be Happy! Pos.
This presentation was given by Mark Williamson, Director of Action for Happiness on Tues 23 Aug 2011.
It was part of a British Council workshop on the theme of Wellbeing involving young social and political activists from the UK and the Middle East.
It gives an overview of why wellbeing is important and the political context, summarises some important recent scientific findings relating to happiness and suggests some actions that governments and individuals can take to help create a happier society.
Building happiness resilience_and_motivation_in_adolescentssharonfajou
From the book: "Building happiness, resilience and motivation in adolescents: A positive psychology curriculum for well-being."
By Ruth MacConville and Tina Rae, 2012
What is positive psychology (summary) the happiness blogDr. Sandip Roy
Positive psychology is essentially the science of happiness and wellbeing, but also includes the study of the aspects of life, including suffering, that make it worth living. It examines the meaning of life, the welfare of society, and the methods of increasing life satisfaction.
A review on data mining techniques for Digital Mammographic Analysisijdmtaiir
- Medical Data mining is the search for relationships
and patterns within the medical data that could provide useful
knowledge for effective medical diagnosis. The predictability
of disease will become more effective and early detection of
disease will aid in increased exposure to required patient care
and improved cure rates using computational applications.
Review shows that the reasons for feature selection include
improvement in performance prediction, reduction in
computational requirements, reduction in data storage
requirements, reduction in the cost of future measurements
and improvement in data or model understanding
Comparison on PCA ICA and LDA in Face Recognitionijdmtaiir
Face recognition is used in wide range of application.
In recent years, face recognition has become one of the most
successful applications in image analysis and understanding.
Different statistical method and research groups reported a
contradictory result when comparing principal component
analysis (PCA) algorithm, independent component analysis
(ICA) algorithm, and linear discriminant analysis (LDA)
algorithm that has been proposed in recent years. The goal of
this paper is to compare and analyze the three algorithms and
conclude which is best. Feret Dataset is used for consistency
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What role should education play in creating happiness? A keynote presentation given by Patrick Blessinger at the 2013 Felicitology Conference in Khabarovsk, Russia
GNH- Psychological Well-Being in Relation with Buddhismijcnes
Gross National Happiness (GNH) � introduced as a new measurement of national prosperity, focusing on people�s well-being rather than economic productivity. This paper talks about how Buddhism is associated with happiness (psychological well-being). The Buddhist understanding of happiness is much broader. It is a holistic reflection of the general well-being. Happiness and prosperity does not come through accumulation of wealth rather happiness comes from mental well-being (i.e. psychological well-being).
This riport is edited by John Helliwell, Richard Layard and Jeffrey Sachs.
TABLE OF CONTENTS
1. Introduction
2. World Happiness: Trends, Explanations and Distribution
3. Mental Illness and Unhappiness
4. The Objective Benefits of Subjective Well-Being
5. Restoring Virtue Ethics in the Quest for Happiness
6. Using Well-being as a Guide to Policy
7. The OECD Approach to Measuring Subjective Well-Being
8. From Capabilities to Contentment: Testing the Links
Between Human Development and Life Satisfaction
Your Life Satisfaction Score (beta) is an indicator of how you thrive in your life: it reflects how well you shape your lifestyle, habits and behaviors to maximize your overall life satisfaction along the five following dimensions:
►1. Health & fitness, reflecting your physical well-being and healthy habits;
►2. Positive emotions & gratitude, indicating how well you embrace positive emotions;
►3. Skills & expertise, measuring the ability to grow your expertise and achieve something unique;
►4. Social skills & discovery, assessing the strength of your network and your inclination to discover the world;
►5. Leadership & meaning, gauging your compassion, generosity and how much 'you are living the life of your dream'.
Visit www.Authentic-Happiness.com to check your Life Satisfaction score. Free, no registration required.
You need to enable JavaScript to run this app..docxadkinspaige22
You need to enable JavaScript to run this app.
Print Originality ReportDownload Originality ReportSafeAssign Originality ReportPSY/225: Positive Psychology•Wk 3 - Happiness Paper [due Mon]•Submitted on Fri, Jun 19, 2020, 2:07 PMView Originality Report - Old DesignGbenga Adeogun
View Report Summary
Happiness Paper
According to the Bhutanese, happiness is achieved when people devolve their lives to a simpler and more meaningful existence that does not revolve around material possession.
Attaining happiness, according to them, is very simple as it only requires one to be fully satisfied with what they currently have.
The Bhutanese believe that the goal, or rather the secret to happiness is to strive to always enjoy the little that life has blessed one with.
Being content is thus the ultimate form of happiness according to the Bhutanese.
The Bhutanese also view happiness as a skill that is cultivated and starts by learning to let go of things, forgiving others, and freeing oneself from negative emotions such as pride, hatred, and greed.
Additionally, the Bhutanese recognize that collective happiness is far more important than personal reward (Lhamu, 2019).
Showing kindness, love, and gratitude to others is a major step towards building a happy and harmonious society, and one should not expect anything in reward by doing so.
From the video, happiness is described as something you cannot buy and when one fully understands the dynamics of happiness, it becomes easier to live by it.
This revelation is important as it echoes the Bhutanese view that the best form of happiness comes from within and not from external influences such as material things.
These sentiments also affirm that happiness is achievable and that anyone can experience it when they set their minds to it.
From the video, Dr.
Ed Diener (2008) suggests that being happy does not necessarily mean always exhibiting euphoria.
This is an important point since many people tend to think that a person who constantly portrays a dull face is unhappy, which is a misguided interpretation of what being happy really means.
How the Bhutanese and the American culture perceive a good life is quite different.
While the Bhutanese do not associate a good life with the material aspect of things, the opposite is the case in the American culture (Sithey et al., 2015).
People in the American culture are constantly pushing to have a better version of what they already house, be it a better car, a better house, a better job, and so forth.
To add to that, always staying relaxed, peaceful and having a good relationship with others are the major constituents of a good life according to the Bhutanese, which is different from the American culture where a good life is perceived as the outcome of being aggressive in going after what one desires.
References
1
Canadian Broadcasting Corp.(2008). Positive Psychology (03:59) [Video file] in How to Be Happy! Pos.
This presentation was given by Mark Williamson, Director of Action for Happiness on Tues 23 Aug 2011.
It was part of a British Council workshop on the theme of Wellbeing involving young social and political activists from the UK and the Middle East.
It gives an overview of why wellbeing is important and the political context, summarises some important recent scientific findings relating to happiness and suggests some actions that governments and individuals can take to help create a happier society.
Building happiness resilience_and_motivation_in_adolescentssharonfajou
From the book: "Building happiness, resilience and motivation in adolescents: A positive psychology curriculum for well-being."
By Ruth MacConville and Tina Rae, 2012
What is positive psychology (summary) the happiness blogDr. Sandip Roy
Positive psychology is essentially the science of happiness and wellbeing, but also includes the study of the aspects of life, including suffering, that make it worth living. It examines the meaning of life, the welfare of society, and the methods of increasing life satisfaction.
A review on data mining techniques for Digital Mammographic Analysisijdmtaiir
- Medical Data mining is the search for relationships
and patterns within the medical data that could provide useful
knowledge for effective medical diagnosis. The predictability
of disease will become more effective and early detection of
disease will aid in increased exposure to required patient care
and improved cure rates using computational applications.
Review shows that the reasons for feature selection include
improvement in performance prediction, reduction in
computational requirements, reduction in data storage
requirements, reduction in the cost of future measurements
and improvement in data or model understanding
Comparison on PCA ICA and LDA in Face Recognitionijdmtaiir
Face recognition is used in wide range of application.
In recent years, face recognition has become one of the most
successful applications in image analysis and understanding.
Different statistical method and research groups reported a
contradictory result when comparing principal component
analysis (PCA) algorithm, independent component analysis
(ICA) algorithm, and linear discriminant analysis (LDA)
algorithm that has been proposed in recent years. The goal of
this paper is to compare and analyze the three algorithms and
conclude which is best. Feret Dataset is used for consistency
A Novel Approach to Mathematical Concepts in Data Miningijdmtaiir
-This paper describes three different fundamental
mathematical programming approaches that are relevant to
data mining. They are: Feature Selection, Clustering and
Robust Representation. This paper comprises of two clustering
algorithms such as K-mean algorithm and K-median
algorithms. Clustering is illustrated by the unsupervised
learning of patterns and clusters that may exist in a given
databases and useful tool for Knowledge Discovery in
Database (KDD). The results of k-median algorithm are used
to collecting the blood cancer patient from a medical database.
K-mean clustering is a data mining/machine learning algorithm
used to cluster observations into groups of related observations
without any prior knowledge of those relationships. The kmean algorithm is one of the simplest clustering techniques
and it is commonly used in medical imaging, biometrics and
related fields.
Analysis of Classification Algorithm in Data Miningijdmtaiir
Data Mining is the extraction of hidden predictive
information from large database. Classification is the process
of finding a model that describes and distinguishes data classes
or concept. This paper performs the study of prediction of class
label using C4.5 and Naïve Bayesian algorithm.C4.5 generates
classifiers expressed as decision trees from a fixed set of
examples. The resulting tree is used to classify future samples
.The leaf nodes of the decision tree contain the class name
whereas a non-leaf node is a decision node. The decision node
is an attribute test with each branch (to another decision tree)
being a possible value of the attribute. C4.5 uses information
gain to help it decide which attribute goes into a decision node.
A Naïve Bayesian classifier is a simple probabilistic classifier
based on applying Baye’s theorem with strong (naive)
independence assumptions. Naive Bayesian classifier assumes
that the effect of an attribute value on a given class is
independent of the values of the other attribute. This
assumption is called class conditional independence. The
results indicate that Predicting of class label using Naïve
Bayesian classifier is very effective and simple compared to
C4.5 classifier
Performance Analysis of Selected Classifiers in User Profilingijdmtaiir
User profiles can serve as indicators of personal
preferences which can be effectively used while providing
personalized services. Building user files which can capture
accurate information of individuals has been a daunting task.
Several attempts have been made by researchers to extract
information from different data sources to build user profiles
on different application domains. Towards this end, in this
paper we employ different classification algorithmsto create
accurate user profiles based on information gathered from
demographic data. The aim of this work is to analyze the
performance of five most effective classification methods,
namely Bayesian Network(BN), Naïve Bayesian(NB), Naives
Bayes Updateable(NBU), J48, and Decision Table(DT). Our
simulation results show that, in general, the J48has the highest
classification accuracy performance with the lowest error rate.
On the other hand, it is found that Naïve Bayesian and Naives
Bayes Updateable classifiers have the lowest time requirement
to build the classification model
Analysis of Sales and Distribution of an IT Industry Using Data Mining Techni...ijdmtaiir
The goal of this work is to allow a corporation to
improve its marketing, sales, and customer support operations
through a better understanding of its customers. Keep in mind,
however, that the data mining techniques and tools described
here are equally applicable in fields ranging from law
enforcement to radio astronomy, medicine, and industrial
process control. Businesses in today’s environment
increasingly focus on gaining competitive advantages.
Organizations have recognized that the effective use of data is
the key element in the next generation is to predict the sales
value and emerging trend of technology market. Data is
becoming an important resource for the companies to analyze
existing sales value with current technology trends and this
will be more useful for the companies to identify future sales
value. There a variety of data analysis and modeling techniques
to discover patterns and relationships in data that are used to
understand what your customers want and predict what they
will do. The main focus of this is to help companies to select
the right prospects on whom to focus, offer the right additional
products to company’s existing customers and identify good
customers who may be about to leave. This results in improved
revenue because of a greatly improved ability to respond to
each individual contact in the best way and reduced costs due
to properly allocated resources. Keywords: sales, customer,
technology, profit.
Analysis of Influences of memory on Cognitive load Using Neural Network Back ...ijdmtaiir
Educational mining used to evaluate the leaner's
performance and the learning environment. The learning
process are involved and influenced by different
components. The memory is playing vital role in the
process of learning. The long term, short term, working,
instant, responsive, process, recollect, reference,
instruction and action memory are involved in the
process of learning. The influencing factors on these
memories are identified through the construction analysis
of Neural Network Back Propagation Algorithm. The
observed set of data represented using cubical dataset
format for the mining approach. The mining process is
carried out using neural network based back propagation
network model to decide the influencing cognitive load
for the different learning challenges. The learners’
difficulties are identified through the experimental
results.
An Analysis of Data Mining Applications for Fraud Detection in Securities Marketijdmtaiir
-In recent securities fraud broadly refers to deceptive
practices in connection with the offering for sale of securities.
There are many challenges involved in developing data mining
applications for fraud detection in securities market, including:
massive datasets, accuracy, privacy, performance measures and
complexity. The impacts on the market and the training of
regulators are other issues that need to be addressed. In this
paper we present the results of a Comprehensive systematic
literature review on data mining techniques for detecting
fraudulent activities and market manipulation in securities
market. We identify the best practices that are based on data
mining methods for detecting known fraudulent patterns and
discovering new predatory strategies. Furthermore, we
highlight the challenges faced in the development and
implementation of data mining systems for detecting market
manipulation in securities market and we provide
recommendation for future research works accordingly
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...ijdmtaiir
The health care industry contains large amount of
health care data with hidden information. This information is
useful for making effective decision. For getting appropriate
result from the hidden information computer based data mining
techniques are used. Previously Neural Network (NN) is
widely used for predicting cardiac disease. In this paper, a
Cardiac Disease Prediction System (CDPS) is developed by
using data clustering. The CDPS system uses 15 parameters to
predict the disease, for example BP, Obesity, cholesterol, etc.
This 15 attributes like sex, age, weight are given as the input.
In this paper by using the patient’s medical record, an illdefined classification is used at the early stage of the patient to
diagnose the cardiac disease. Based on the result the patients
are advised to keep the sensor to predict them.
Scaling Down Dimensions and Feature Extraction in Document Repository Classif...ijdmtaiir
-In this study a comprehensive evaluation of two
supervised feature selection methods for dimensionality
reduction is performed - Latent Semantic Indexing (LSI) and
Principal Component Analysis (PCA). This is gauged against
unsupervised techniques like fuzzy feature clustering using
hard fuzzy C-means (FCM) . The main objective of the study is
to estimate the relative efficiency of two supervised techniques
against unsupervised fuzzy techniques while reducing the
feature space. It is found that clustering using FCM leads to
better accuracy in classifying documents in the face of
evolutionary algorithms like LSI and PCA. Results show that
the clustering of features improves the accuracy of document
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Music Promotes Gross National Happiness Using Neutrosophic fuzzyCognitive Map...ijdmtaiir
This paper provides an investigation to promote
gross national happiness from music using fuzzy logic model.
Music influences rate of learning. It has been the subject of
study for many years. Researchers have confirmed that loud
background noise impedes learning, concentration, and
information acquisition. An interesting phenomenon that
occurs frequently in listening new music among the students
creates sense of anxiety even without having
properunderstandingofmusic.Happiness is the emotion that
expresses various degrees of positive and negativefeelings
ranging from satisfaction to extreme joy. The happiness is
thegoal most people strive to achieve. Happypeople are
satisfied with their lives. The goal of this work is to find the
particular component of music which will ultimately promote
the happiness of people because of indeterminacy situation in
components of music
A Study on Youth Violence and Aggression using DEMATEL with FCM Methodsijdmtaiir
The DEMATEL method is then a good technique for
making decisions. In this paper we analyzed the risk factors of
youth violence and what makes them more aggressive. Since
there are more risk factors of youth violence, to relate each
other more complex to construct FCM and analyze them.
Moreover the data is an unsupervised one obtained from
survey as well as interviews. Hence fuzzy alone has the
capacity to analyses these concepts.
Certain Investigation on Dynamic Clustering in Dynamic Dataminingijdmtaiir
Clustering is the process of grouping a set of objects
into classes of similar objects. Dynamic clustering comes in a
new research area that is concerned about dataset with dynamic
aspects. It requires updates of the clusters whenever new data
records are added to the dataset and may result in a change of
clustering over time. When there is a continuous update and
huge amount of dynamic data, rescan the database is not
possible in static data mining. But this is possible in Dynamic
data mining process. This dynamic data mining occurs when
the derived information is present for the purpose of analysis
and the environment is dynamic, i.e. many updates occur.
Since this has now been established by most researchers and
they will move into solving some of the problems and the
research is to concentrate on solving the problem of using data
mining dynamic databases. This paper gives some
investigation of existing work done in some papers related with
dynamic clustering and incremental data clustering
Analyzing the Role of a Family in Constructing Gender Roles Using Combined Ov...ijdmtaiir
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
An Interval Based Fuzzy Multiple Expert System to Analyze the Impacts of Clim...ijdmtaiir
Indian agriculture is completely dependent on the
environment and any undesirable change in the environment
has an adverse impact on agriculture. Climate change and
pollution in India have caused great damage to the
environment. In this paper we analyse the impact of climate
change on Indian agriculture. The first section gives an
introduction to the problem. In section two we introduce a new
fuzzy tool called interval based fuzzy multiple expert system.
Section three adapt the new fuzzy tool to analyse the problem
of agricultural impacts of climate change and in section four
we give the results and suggestions based on our analysis
An Approach for the Detection of Vascular Abnormalities in Diabetic Retinopathyijdmtaiir
Diabetic Retinopathy is a common complication of
diabetes that is caused by changes in the blood vessels of the
retina. The blood vessels in the retina get altered. Exudates are
secreted, micro-aneurysms and hemorrhages occur in the
retina. The appearance of these features represents the degree
of severity of the disease. In this paper the proposed approach
detects the presence of abnormalities in the retina using image
processing techniques by applying morphological processing
techniques to the fundus images to extract features such as
blood vessels, micro aneurysms and exudates. These features
are used for the detection of severity of Diabetic Retinopathy.
It can quickly process a large number of fundus images
obtained from mass screening to help reduce the cost, increase
productivity and efficiency for ophthalmologists.
Improve the Performance of Clustering Using Combination of Multiple Clusterin...ijdmtaiir
The ever-increasing availability of textual
documents has lead to a growing challenge for information
systems to effectively manage and retrieve the information
comprised in large collections of texts according to the user’s
information needs. There is no clustering method that can
adequately handle all sorts of cluster structures and properties
(e.g. shape, size, overlapping, and density). Combining
multiple clustering methods is an approach to overcome the
deficiency of single algorithms and further enhance their
performances. A disadvantage of the cluster ensemble is the
highly computational load of combing the clustering results
especially for large and high dimensional datasets. In this paper
we propose a multiclustering algorithm , it is a combination of
Cooperative Hard-Fuzzy Clustering model based on
intermediate cooperation between the hard k-means (KM) and
fuzzy c-means (FCM) to produce better intermediate clusters
and ant colony algorithm. This proposed method gives better
result than individual clusters.
The Study of Symptoms of Tuberculosis Using Induced Fuzzy Coginitive Maps (IF...ijdmtaiir
Tuberculosis or TB is a common, infectious disease
caused by various strains of mycobacterium usually called as
mycobacterium Tuberculosis. Tb attacks the lungs but can also
affect other parts of the body. Most infections are
asymptomatic and latent, but about one in ten latent infections
eventually progresses to active disease which, if left untreated,
kills more than 50% of those so infected. Hence, this paper
analysisthes y m p t o m s o f Tuberculosis using Induced
Fuzzy Cognitive Maps (IFCMs). IFCMs area fuzzy-graph
modeling approach based on expert’s opinion. This is the nonstatistical approach to study the problems with imprecise
information.
Study of sustainable development using Fuzzy Cognitive Relational Maps (FCM)ijdmtaiir
Sustainable development provides a framework under
which communities can use resources efficiently, create efficient
infrastructures, protect and enhance quality of life, and create new
businesses to strengthen their economies. It can help us create
healthy communities that can sustain our generation, as well as
those that follow ours. Sustainable development is not a new
concept. Rather, it is the latest expression of a long-standing ethic
involving peoples' relationships with the environment and the
current generation's responsibilities to future generations. For a
community to be truly sustainable, it must adopt a three-pronged
approach that considers economic, environmental and cultural
resources. Communities must consider these needs in the short
term as well as the long term. Sustainable Development also can
be defined simply as a better quality of life for everyone, now and
for generations to come. It is a vision of progress that links
economic development, protection of the environment and social
justice, and its values are recognised by democratic governments
and political movements the world over. Sustainable
Development is therefore closely linked to Governance, Better
Regulation and Impact Assessment. Indicators to measure
progress are also vital.This paper has four sections. In the first
section we introduce the notion of fuzzy cognitive maps and
Combined Fuzzy Cognitive Maps (CFCMs). In section two we
describe the problem and justification for the use of FCMs. In
section three we give the adaptation of FCM to the problem. In
the final section we give conclusions based on our analysis of the
problem using FCM
A Study of Personality Influence in Building Work Life Balance Using Fuzzy Re...ijdmtaiir
Personality plays an important role in work life
balance irrespective of the organizational setups and other
factors. It has become a subject of concern in terms of
technological, market and organizational changes associated
with an individual’s personality. Here in this study an attempt is
made to study about the holistic picture of personality influence
in work-life balance on the basis of experts’ opinion. The
influence of personality is studied from the big five factors of
personality traits. The data were analyzed using Fuzzy
Relational mapping (FRM) model and conclusions arrived for
which personality has more influence in building work life
balance and which one is more vulnerable for work life
imbalance
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This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
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Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
A Study on Finding the Key Motive of Happiness Using Fuzzy Cognitive Maps (FCMs)
1. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.43-46
ISSN: 2278-2419
43
A Study on Finding the Key Motive of Happiness
Using Fuzzy Cognitive Maps (FCMs)
A. Victor Devadoss1
, D. Mary Jiny2
PG & Research Department of Mathematics, Loyola College, ChennaI, India.
Email : 1
hanivictor@ymail.com, 2
djstudy.jiny94@gmail.com
Abstract -Happiness is subjective. It is difficult to compare one
person’s happiness with another. It can be especially difficult
to compare happiness across cultures. The function of man is
to live a certain kind of life and this activity implies a rational
principle. The function of a good man is the good and noble
performance. If any action is well performed it is performed in
accord with the appropriate excellence. If this is the case, then
happiness turns out to be an activity of the soul in accordance
with virtue. That is happiness as the exercise of virtue. Every
human being thinks happiness in his own perspective.
Everyone wants to be happy and searching happiness in all
their activities. Happiness is typically measured using
subjective measures. Happiness cannot be defined in terms of
rigid boundaries and it is a vague term and it is appropriate to
use Fuzzy Logic. In particular, we use Fuzzy Cognitive
Mapping to find the key motive of happiness. This paper
consists of four sections. The first section is of inductive
nature about happiness. The section two introduces the
concept of Fuzzy Cognitive Mapping (FCMs). In section three
Fuzzy Cognitive Mapping applied on the concept of
Happiness. Section four gives the conclusions and
suggestions.
Keywords - Fuzzy Cognitive Map, Happiness, Making the dear
one happy and being with them, Enjoyments, leisure,
Education, achievements, Spiritual thoughts, Wealth and
Health
I. INTRODUCTION
The function of man is to live a certain kind of life and this
activity implies a rational principle and the function of a good
man is the good and noble performance of these, and if any
action is well performed it is performed in accord with the
appropriate excellence. If this is the case, then happiness turns
out to be an activity of the soul in accordance with virtue. That
is happiness as the exercise of virtue. The ultimate aim of life
is to be happy. Everyone wants to be happy. Searching for
happiness is the ultimate aim of their life and start to find
happiness in all their activities. Happiness varies person to
person. One find happiness in his family life, another finds in
religious life, some finds in wealth and some in heath and so
on. So it is a vague term. It cannot be defined in terms
definite actions. Let us see how some eminent people define
happiness.According to the Greek philosopher Aristotle,
happiness consists in achieving through the course of the
whole lifetime all the goods, health, wealth, knowledge,
friends, etc., that leads to the perfection of human nature and to
the enrichments of human life. Victor-Marie Hugo (26
February 1802 – 22 May 1885) was a French poet, statesman,
human rights activist says “The greatest happiness of life is the
conviction that we are loved - loved for ourselves, or rather,
loved in spite of ourselves”. Alice Meynell (1847-1922) was
an English writer says “Happiness is not a matter of events; it
depends upon the tides of the mind”. Allan K Chalmers (1951)
was a writer mention” The grand essentials of happiness are:
something to do, something to love, and something to hope for
love”. Margaret Lee beck (1905-1956) was a psychologist
says “Happiness is not a station you arrive at but a matter of
travelling”. John B. Sheerin (1992) was a Roman Catholic
editor says “Happiness is not in our circumstance but in our
selves. It is not something we see, like a rainbow, or feel, like
the heat of a fire. Happiness is something we are”. Scottish
Proverb says “Be happy while you're living, for you're a long
time dead”.
A. Recent Research Papers and Motivation for Study
John Helliwell (October 27, 2010) emeritus professor of
economics at UBC observed that the amount of data and
experience regarding happiness research is in its infancy but
suspects that the three major points about happiness that will
ultimately merge are:1)The positive trumps the negative. 2)
Community trumps materialism. 3) Generosity trumps
selfishness. George mackerron (2 Dec 2011) is a LSE
researcher says six main cause of happiness are 1.Intimacy/
making 2.love.Sports/ running/ exercise 3.Theatre/ dance/
4.concert/ Singing/ performing 5.Exhibition/ museum/ 6.
library. Hobbies / arts/ crafts. 18th
January 2012 - A new
study published on in the journal of marriage and family
reveals the benefits of marriage such as shared health care
plans cohabiting couples experienced greater gains in
happiness and self-esteem. 19th
April 2012 – Princeton
University study showed that money really can buy happiness.
12th
April 2012 – “sex in the event of happiness”, presented by
Lauren Berlant professor of English at the University of
Chicago.
B. Gross National Happiness
Gross National Happiness was coined in 1972 by Bhutan’s
then King Jigme Singye Wangchuck. The Fourth Dragon king
of Bhutan says “The primary idea of GNH is that every human
being aspires for happiness and the country’s development
should also be measured in its citizen’s happiness”.
C. What makes people feel happy?
Every human being is different, their thinking and their
activities are also different. It is not so easy to find what
people think as their happy. The collected data of different
people from different area gives us various ideas about
happiness. Interview and recorded data from 100 people
belongs from a combination of society of people gives us their
point of view about happiness. From the collected data, there
are 36 different causes are able to find out, these 36 causes are
2. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.43-46
ISSN: 2278-2419
44
minimized as 17 and again reduced us 6 main causes with the
help of experts opinion. According to expert (people) opinion
we have collected some of the major fact about happiness and
are combined and reduce as 6 major cause which is shown in
the fig.1.1.
a) The six main key motive of happiness
According to the experts opinion we have arrived at six main
key motive of happiness they are
1. Making the dear one happy and being with them (family
and friends)
2. Health (meditation and yoga)
3. Wealth (properties and economic status)
4. Spiritual thoughts
5. Achievements (success in education and extracurricular
activities)
6. Pleasure activities
b) The percentage response
The percentage response from 100 people of different
community was taken and the collected data is given in fig.1.2.
The fig 1.2 shows that the majority of the people think that
being with their dear ones and making them happy is their
happiness. The dear one includes family, friends, and their well
wishes and pet animals. The second major cause is
achievements. Achievements are the main goal of majority of
people. The third motive of happiness is pleasure activities; it
plays an important role in short length happiness. Wealth is in
fourth position among the key motive of happiness. But some
think that health is wealth. The fifth majority is health and
spiritual thoughts. Spiritual thoughts make people not to do
sin, and no sin will comes back to them. Health is also one of
the important factors because if you are healthy then you can
enjoy your life in better manner.
Figure 1
D. Effects of happiness
Happiness is a tool to enjoy the life. Everyone is searching for
happiness in all their activities. Satisfaction of life is seems to
be more important than anything else in the world. The
percentage response of the effect of happiness from the public
is given in fig .1.3. Happiness gives us a motivation to work
hard towards the goal and it helps to reduce the strain and
stress. We get confidence and can able to achieve everything.
Happiness gives us the satisfaction of life and peace of mind.
And experts say that if you are happy then you look young.
The public responses from the collected data is given below
E1 - motivation to work hard towards the goal
E2 - It will help us to forget the stress and gives confidence
E3 – we can achieve everything and will get satisfaction
E4 – peace of mind
E5 – will be healthy and look young
E6 – supportive and gives self confidence
Fig. 2 (% response – causes of happiness)
1. Being with friends
2. Getting good life partner
3. Being with family and making
them happy
4. Keeping pet animals
5. Making other happy
6. Doing meditation
7. Achievements
8. Outing
9. If my dear one achieve
something
10. Wealthy life(getting gifts and
their own yearned)
11. Being with god
12. Pleasure activities(sleeping and
taking rest)
13. Healthy life
14. Without doing any sin
15. Education
16. Extracurricular activities (
talents in sports and cultural)
17. Watching movie
18. Festivals
19.
20. Watching move
1. Making the dear one
happy and being with
them
2. Health
3. Wealth
4. Spiritual thoughts
5. Achievements(success
in education and
extracurricular
activities)
6. Pleasure activities
3. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.43-46
ISSN: 2278-2419
45
Fig. 3 (% response - effect of happiness)
II. INTRODUCTION
In this section we recall the notion of Fuzzy Cognitive Maps
(FCMs), which was introduced by Bart Kosko in the year
1986. We also give several of its interrelated definitions.
FCMs have a major role to play mainly when the data
concerned is an unsupervised one. Further this method is most
simple and an effective one as it can analyze the data by
directed graphs and connection matrices.
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. Let C1, C2, …,Cn be the nodes
of an FCM. A = (a1, a2,…,an) where ai {0, 1}. A is called
instantaneous state vector and it denotes the on-off position of
the node at an instant.
B. Definition
Let C1, C2,…,Cn be the nodes of an FCM. Let C1C2, C2C3,
C3C4,…, CiCj 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 cycle. An FCM is said to be acyclic if it
does not possess any directed cycle.
C. Definiton
An FCM with cycles is said to have a feedback.
D. Definition
Let C1C2, C2C3, C3C4,…, CiCj 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.
E. Definition
If the equilibrium state of a dynamical system is a unique state
vector, then it is called a fixes point.Example: Consider a FCM
with C1, C2,…,Cn as nodes. For example let us start the
dynamical system by switching onC1. Let us assume that the
FCM settles down with C1 and Cn on i.e. the state vector
remains as (1, 0, 0, …, 0, 1) this state vector(1, 0, 0, …, 0, 1) is
called the fixed point.
FCMs are used to model several types of real world problem.
FCMs have a major role to play mainly when the data
concerned is an unsupervised one. In this section we analyze
the key motive of happiness using FCM.
III. FINDING OUT THE HIDDEN PATTERN
An expert spells out the six major concepts relating to the
cause of happiness
C1 - Making the dear one happy and being with them
C2 – Pleasure activities
C3 – Education and achievements
C4 - Spiritual thoughts
C5 – Wealth
C6 – Health
The directed graph is drawn with the expert opinion where C1,
C2,…, C6 are taken as nodes and causalities as edges is given in
fig.2.1
According to the experts opinion, Making the dear one happy
and being with them is related to the enjoyment and pleasure
activity. Enjoyment and pleasure activities is related to the
health because if you healthy only then you can be active.
Making the dear one happy and being with them is also related
to health and spiritual thoughts since every religion say about
love. Wealth is related to enjoyment and pleasure activities and
vice versa. Spiritual thought is related to education, health and
Making the dear one happy and being with them. Education
and achievements will give you wealth.Consider the 6 × 6
causal connection matrix E that represents the causality of
every nodes using FCM is given below
1 2 3 4 5 6
1
2
3
4
5
6
C C C C
0 1 0 0 1 1
1 0 0 0 1 1
0 0 0 1 1 0
1 0 1 0 0 1
1 1 1 0 0 0
1 1 0 0 0 0
C C
C
C
E C
C
C
C
We discuss the case when the first node that is making the dear
ones happy and being with them is in on state. Since the
percentage response shows that majority of people says making
others happy and being with them is their happiness.
Therefore in this case we allow C1 to pass on E.
Input the vector 1 0 0 0 0 0A
0 1 0 0 1 1
1 0 0 0 1 1
0 0 0 1 1 0
= 1 0 0 0 0 0
1 0 1 0 0 1
1 1 1 0 0 0
1 1 0 0 0 0
A E
0 1 0 0 1 1
= A1
A1 E 1 1 1 0 1 1
= A2
A2 E 1 1 1 1 1 1 = A3
A3 E 1 1 1 1 1 1
C1
C6
C5 C4
C3
C2
4. Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications
Volume: 02 Issue: 02 December 2013 Page No.43-46
ISSN: 2278-2419
46
Thus the hidden pattern is found out using FCM. When we
allow the first node is in on state and allow it to pass on E, we
get all the nodes in on state. This gives us a conclusion that
when we make the others happy automatically all other
enjoyment and pleasure, education and achievements, spiritual
thoughts, wealth and health is becoming on state. Thus using
FCM we have found out the key motive of happiness with the
help of experts opinion.
IV. CONCLUSION
Happiness buys success. Happiness is a solution for lot of
social problems like violence, breaking of rules, terrorism and
so on. People without happiness will be selfish and disturb
others happiness also. The key motive of development is
happiness. We can see from the data, the key motive of
happiness is living with their loved one and making them
happy, the word dear one includes friends, family and life
partner. Secondly the achievements plays a vital role in
happiness, every person wants to make their name to be written
in the history. They consider the sustainability of their names
and the fame as happiness. Most people don’t understand the
scientific facts about how they derive happiness, so they don’t
know how to use their money to acquire it. Experiences more
than items. Leisure pursuits increase happiness, people who
watch a lot of television are lacking in better sources of
happiness, such as relationships and other leisure pursuits; that
is, people watch television if they don't have anything better to
do. The effect of happiness helps you to forget stress and give
you confidence to walk towards your achievement. And
finally you will reach the ultimate aim of peace of mind and
satisfaction in life. “Happiness comes from giving, not getting.
If we try hard to bring happiness to others, we cannot stop it
from coming to us also. Happiness is a key motive of
development of a country. Every nation wants to make their
country as developed. But less nations care about the happiness
of their people. Instead of giving much important to the
economic growth of the nation if you give important to find the
key motive of happiness of people in the country, the country
can achieve its goal very quick and easily. Therefore the future
study can be done in finding the key motive of happiness in
every country and combining those using CFCMs (Combined
Fuzzy Cognitive Maps) to get the universal key motive of
happiness. And this area can be studied using BAM
(Bidirectional Associative Memory) to get the Bidirectional
Happiness among nations.
REFERENCE
[1] George J. klir/Bo Yuan, “Fuzzy Sets and Fuzzy logic(Theory and
application)”, PHI Learning Private limited 2010.
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Ilanthenral;”Elementrary Fuzzy matrix theory and Fuzzy Model for Social
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[5] W. B. Vasantha Kandasamy, Florentin Smarandache;”Fuzzy Cognitive
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[6] C. E. Pelaez and J. B Bowles;”Using Fuzzy Cognitive Maps as a system
Model for failure Models and effect Analysis”, information sciences, vol
88,pp.177-199,1996.
[7] Dr. Gerald J. Calais;”Fuzzy Cognitive Maps theory:Implications for
interdisciplinary reading:National Implications”,2008.
[8] John Helliwell and Richard Layard;”Historic Un conference on
Happiness”, 11th
April 2012
[9] GeorgeMackerron;”LSE Researcher describes Happiness”, 2Dec2011,
www.mappiness.org.uk.
[10] Lauren Berlant;”Sex in the event of happiness”.12th
April 2012.
[11] The journal of marriage and family; 18th
January 2012.
[12] Victor Marie Hugo;”Han d’Islande”’1823.
[13] King Jigme Singye;”Gross National Happiness”, 1972.