Posted by **Underaglassmoon** at Jan. 13, 2016

Springer | Fuzziness and Soft Computing | February 12, 2016 | ISBN-10: 3319288075 | 275 pages | pdf | 3.4 mb

Editors: Saminger-Platz, Susanne, Mesiar, Radko (Eds.)

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

Posted by **libr** at Nov. 27, 2015

English | 2006-02-17 | ISBN: 076192986X | 113 pages | PDF | 3.5 mb

Posted by **alt_f4** at Sept. 24, 2015

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.

Posted by **insetes** at March 28, 2015

2001 | 514 Pages | ISBN: 9401038708 | PDF | 14 MB

Posted by **interes** at April 25, 2013

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.

Posted by **Specialselection** at Jan. 22, 2012

English | 2006-02-17 | ISBN: 076192986X | 113 pages | PDF | 3.5 mb

Posted by **bookwyrm** at Feb. 3, 2014

2001 | 514 Pages | ISBN: 9401038708 | PDF | 14 MB

Posted by **tanas.olesya** at Oct. 3, 2014

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.,

Posted by **johinson** at Feb. 22, 2010

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.

Posted by **Jeterro** at April 19, 2009

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.