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.
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"I think that the book is a simple and accessible introduction to the theory of fuzzy sets and it includes many examples, formulae, figures, and tables which illustrate its contents. The presentation of the book and the academic content are very careful, which make for pleasant reading." (Marinano Ruiz Espejo )
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Michael Smithson is a Professor in the Psychology Department at The Australian National University. He has written 6 books, co-edited 3, and published more than 120 refereed articles and book chapters. His research interests focus on how people think about and respond to unknowns, and quantitative methods in the human sciences.
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This review is from: Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences) (Paperback)
Fuzzy Set Theory: Applications in the Social Sciences is a good detailed penetration of fuzzy set theory for social scientists who want to gain a greater understanding of the range of fuzzy set theory applications. If you don't have a good understanding of set theory notation and set operations you will not appreciate a good majority of the book. The book could have been improved by addressing the use of fuzzy set theory to illustrate graded levels of fit to personality prototypes, and offered a few more examples of how to display fuzzy sets.
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Inside This Book
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First Sentence:
Researchers in the social sciences have long observed that although human beings break up their world into categories, they often use categories with blurred edges and gradations of membership. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Law of the Excluded Middle, Thought Attention Delinq New!
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Researchers in the social sciences have long observed that although human beings break up their world into categories, they often use categories with blurred edges and gradations of membership. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Law of the Excluded Middle, Thought Attention Delinq New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 90
books:
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- Confidence Intervals (Quantitative Applications in the Social Sciences) by Michael Smithson in Front Matter, and Back Matter
- Tests of Significance (Quantitative Applications in the Social Sciences) by Ramon E. Henkel in Front Matter
- Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences) by John H. Aldrich in Front Matter
- Cluster Analysis (Quantitative Applications in the Social Sciences) by Mark S. Aldenderfer in Front Matter
- Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences) by James J. Jaccard in Front Matter
See all 90 books this book cites
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