Introduction to N-Adaptive Fuzzy Models to Analyze Public Opinion on Aids

By Smarandache, Florentin

Book Id: WPLBN0002828446
Format Type: PDF eBook:
File Size: 0.8 MB
Reproduction Date: 7/31/2013

Title:	Introduction to N-Adaptive Fuzzy Models to Analyze Public Opinion on Aids
Author:	Smarandache, Florentin
Volume:
Language:	English
Subject:	Non Fiction, Education, AIDS
Collections:	Mathematics, Algebra, Arithmetic, Authors Community, Psychology, Math, Geography, Statistics, Fine Arts, Sociology, Medicine, Literature, Finance, Most Popular Books in China, Law, Social Sciences, Education
Historic Publication Date:	2013
Publisher:	World Public Library

Member Page:	Florentin Smarandache
Citation APA MLA Chicago Smarandache, B. F., & Vasantha Kandasamy, W. B. (2013). Introduction to N-Adaptive Fuzzy Models to Analyze Public Opinion on Aids. Retrieved from http://www.gutenberg.us/

Description
We have used the 2-adaptive fuzzy model having the two fuzzy models, fuzzy matrices model and BAMs viz. model to analyze the views of public about HIV/ AIDS disease, patient and the awareness program. This book has five chapters and 6 appendices. The first chapter just recalls the definition of four fuzzy models used in this book and gives illustration of some of them. Chapter two introduces the new n-adaptive fuzzy models. Chapter three uses for the first time 2 adaptive fuzzy models to study psychological and sociological problems about HIV/AIDS. Chapter four gives an outline of the interviews. Chapter five gives the suggestions and conclusion based on our study. Of the 6 appendices four of them are C-program made to make the working of the fuzzy model simple.

Summary
People living with HIV/AIDS have always been victims of the most extreme forms of social discrimination. They are stereotyped and stigmatized, and are seen as people outside the 'general population.' In this book we use mathematical tools to attempt an understanding of public awareness and attitude towards people living with HIV/AIDS. Here for the first time, a new model called the n-adaptive fuzzy model has been introduced. This model has the capacity to analyze the same problem in different ways thereby arriving at various solutions that mirror multiple perspectives.

Excerpt
In this chapter for the first time we introduce the new class of n-adaptive fuzzy models (n a positive integer and n ≥ 2) and illustrate it. These n-adaptive fuzzy models can analyze a problem using different models so one can get in one case the hidden pattern, in one case the maximum time period in some case output state vector for a given input vector and so on. So this new model has the capacity to analyze the problem in different angles, which can give multiple suggestions and solutions about the problem. This chapter has two sections. Section one defines the new model gives illustrations and section two defines some special n-adaptive models and proposes some problems.

Table of Contents
Chapter One SOME BASIC FUZZY MODELS WITH ILLUSTRATIONS 1.1 Fuzzy matrices and their applications 9 1.2 Definition and illustration of Fuzzy Relational Maps (FRMs) 16 1.3 Some basic concepts of BAM with illustration 20 1.3.1 Some basic concepts of BAM 22 1.3.2 Use of BAM Model to study the cause of vulnerability to HIV/AIDS and factors for migration 28 1.4 Introduction to Fuzzy Associative Memories (FAM) 35 Chapter Two ON A NEW CLASS OF N-ADAPTIVE FUZZY MODELS WITH ILLUSTRATIONS 2.1 On a new class of n-adaptive fuzzy models with illustrations 39 2.2 Some special n-adaptive models 49 Chapter Three USE OF 2-ADAPTIVE FUZZY MODEL TO ANALYZE THE PUBLIC AWARENESS OF HIV/AIDS 3.1 Study of the psychological and social problems the public have about HIV/AIDS patients using CETD matrix 52 3.2 Use of 2 adaptive fuzzy model to analyze the problem 72 Chapter Four PUBLIC ATTITUDE AND AWARENESS ABOUT HIV/AIDS 4.1 Introduction 77 4.2 Interviews 81 Chapter Five CONCLUSIONS 167 Appendix 1. Questionnaire 177 2. Table of Statistics 191 3. C-program for CETD and RTD Matrix 198 4. C-program for FRM 202 5. C-program for CFRM 207 6. C-program for BAM 212 FURTHER READING 215 INDEX 232 ABOUT THE AUTHORS 235