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Fuzzy Set Theory
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Fuzzy Set Theory : Applications in the Social Sciences

by Jay Verkuilen , Michael Smithson

Book Details

Format Paperback / Softback
Book Series Quantitative Applications in the Social Sciences
ISBN-10 076192986X
ISBN-13 9780761929864
Publisher SAGE Publications Inc
Imprint SAGE Publications Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 4th, 2006
Print length 112 Pages
Weight 136 grams
Dimensions 14.20 x 21.60 x 0.70 cms
Product Classification: Research methods: general Social research & statistics Fuzzy set theory
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Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, 'fuzzy.' This book presents an introduction to fuzzy set theory, focusing on its applicability to the social sciences. It provides a guide for researchers wishing to combine fuzzy set theory with standard statistical techniques and model-testing.
Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications in the Social Sciences provides a systematic, yet practical guide for researchers wishing to combine fuzzy set theory with standard statistical techniques and model-testing.

Key Features:  
  • Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts that are simultaneously categorical and dimensional. Starting with a rationale for fuzzy sets, this book introduces readers with an elementary knowledge of statistics to the necessary concepts and techniques of fuzzy set theory and fuzzy logic.
  • Introduces Novel Ways of Analyses: Researchers are shown alternative methods to conventional models, especially for testing theories that are expressed in set-wise terms. Issues of operationalizing graded membership in a fuzzy set and the measurement of the properties of such sets are a few of the topics addressed.
  • Illustrates Techniques and Applications: Real examples and data-sets from various disciplines in the social sciences are used to demonstrate the connections between fuzzy sets and other data analytic techniques, empirical applications of the technique, and the critiques of fuzzy set theory.
Intended Audience:  
Ideal for researchers in the social sciences, education, and behavioral sciences; as well as graduate students in the applied social sciences

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