Fuzzy Set Theory

On Logical, Algebraic, and Probabilistic Aspects of Fuzzy Set Theory

On Logical, Algebraic, and Probabilistic Aspects of Fuzzy Set Theory
Springer | Fuzziness and Soft Computing | February 12, 2016 | ISBN-10: 3319288075 | 275 pages | pdf | 3.4 mb

Editors: Saminger-Platz, Susanne, Mesiar, Radko (Eds.)
Offers a snapshot of current research in fuzzy set theory
Discusses new perspectives on traditional topics of the Linz Seminars on Fuzzy Set Theory
Written by leading scientists inspired by different aspects of Peter Klement's research
Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences) (repost)

Michael Smithson, Jay Verkuilen, "Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences)"
English | 2006-02-17 | ISBN: 076192986X | 113 pages | PDF | 3.5 mb
35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerr

35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre (Studies in Fuzziness and Soft Computing) by Chris Cornelis
English | Oct. 13, 2010 | ISBN: 3642166288 | 296 Pages | PDF | 4 MB

This book is a tribute to Etienne E. Kerre on the occasion of his retirement on October 1st, 2010, after being active for 35 years in the field of fuzzy set theory.
Fuzzy Set Theory: and Its Applications (4th edition) (Repost)

Fuzzy Set Theory: and Its Applications (4th edition) By Hans-Jürgen Zimmermann
2001 | 514 Pages | ISBN: 9401038708 | PDF | 14 MB
Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences) (repost)

Michael Smithson, Jay Verkuilen, "Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences)"
English | 2006-02-17 | ISBN: 076192986X | 113 pages | PDF | 3.5 mb

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.

Fuzzy Set Theory: Applications in the Social Sciences (Repost)  

Posted by Specialselection at Jan. 22, 2012
Fuzzy Set Theory: Applications in the Social Sciences (Repost)

Michael Smithson, Jay Verkuilen, "Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences)"
English | 2006-02-17 | ISBN: 076192986X | 113 pages | PDF | 3.5 mb

Fuzzy Set Theory - and Its Applications, 4th edition  

Posted by bookwyrm at Feb. 3, 2014
Fuzzy Set Theory - and Its Applications, 4th edition

Fuzzy Set Theory - and Its Applications, 4th edition By Hans-Jürgen Zimmermann
2001 | 514 Pages | ISBN: 9401038708 | PDF | 14 MB
Integration of Fuzzy Logic and Chaos Theory by Zhong Li [Repost]

Integration of Fuzzy Logic and Chaos Theory (Studies in Fuzziness and Soft Computing) by Zhong Li
Springer; 2006 edition | February 28, 2006 | English | ISBN: 3540268995 | 661 pages | PDF | 27 MB

The 1960s were perhaps a decade of confusion, when scientists faced d- culties in dealing with imprecise information and complex dynamics. A new set theory and then an in?nite-valued logic of Lot? A. Zadeh were so c- fusing that they were called fuzzy set theory and fuzzy logic; a deterministic system found by E. N. Lorenz to have random behaviours was so unusual that it was lately named a chaotic system. Just like irrational and imaginary numbers, negative energy, anti-matter, etc.,

Fuzzy Chaotic Systems: Modeling, Control, and Applications  eBooks & eLearning

Posted by johinson at Feb. 22, 2010
Fuzzy Chaotic Systems: Modeling, Control, and Applications

Springer, «Fuzzy Chaotic Systems: Modeling, Control, and Applications»
ISBN: 3540332200 | 2006 | PDF | 299 pages | 4.9 MB

Bringing together the two seemingly unrelated concepts, fuzzy logic and chaos theory, is primarily motivated by the concept of soft computing (SC), initiated by Lotfi A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal contributions of FL, NN and PR are complementary rather than competitive.
Fuzzy Control of Industrial Systems: Theory and Applications

Fuzzy Control of Industrial Systems: Theory and Applications
Springer; 1 edition (August 31, 1998) | ISBN: 0792382498 | 224 pages | PDF | 5.6 Mb

Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system.