Fuzzy Logic: A Spectrum of Theoretical & Practical Issues / Edition 1

by Paul P. Wang, Da Ruan, Etienne E. Kerre

Overview

In order to properly characterize the content of this book, it is important to clarify first the intended meaning of its title Fuzzy Logic. This clarification is needed since the term “fuzzy logic,” as currently used in the literature, is viewed either in a narrow sense or in a broad sense. In the narrow sense, fuzzy logic is viewed as an area devoted to the formal development, in a u-—ed way, of the various logical systems of many-valued logic. It is concerned withformalizingsyntactic aspects(basedonthenotionofproof) andsemantic aspects (based on the notion oftruth) of the variouslogical calculi. In order to be acceptable, each of these logical calculi must be sound (provability implies truth) and complete (truth implies provability). The most representativep- lication of fuzzy logic in this sense is, in my opinion, the classic book by Peter Hajek [1]. When the term “fuzzy logic” is viewed in the broad sense, it refers to an extensive agenda whose primary aim is to utilize the apparatus of fuzzy set theoryfordevelopingsoundconcepts,principles,andmethodsforrepresenting and dealing with knowledge expressed by statements in natural language. Although workin fuzzy logicin the broadsense is not directly concernedwith the issues that are investigated under fuzzy logic in the narrow sense, the importance of the latter is that it provides the former with solid theoretical foundations. After examining the content of this book, it is easy to conclude that its title,FuzzyLogic, referstofuzzylogicinthebroadsense. Thisisconsistent,by and large, with the usual meaning of the term “fuzzy logic” in the literature.

Product Details

ISBN-13:	9783540712572
Publisher:	Springer Berlin Heidelberg
Publication date:	07/31/2007
Series:	Studies in Fuzziness and Soft Computing , #215
Edition description:	2007
Pages:	459
Product dimensions:	6.10(w) x 9.40(h) x 1.20(d)

Table of Contents

Why Fuzzy Logic? – A Spectrum of Theoretical and Pragmatics Issues.- On Fuzzy Set Theories.- Uninorm Basics.- Structural Interpolation and Approximation with Fuzzy Relations: A Study in Knowledge Reuse.- On Fuzzy Logic and Chaos Theory.- Upper and Lower Values for the Level of Fuzziness in FCM.- Mathematical Modeling of Natural Phenomena: A Fuzzy Logic Approach.- Mathematical Fuzzy Logic in Modeling of Natural Language Semantics.- Analytical Theory of Fuzzy IF-THEN Rules with Compositional Rule of Inference.- Fuzzy Logic and Ontology-based Information Retrieval.- Real-World Fuzzy Logic Applications in Data Mining and Information Retrieval.- Gene Regulatory Network Modeling: A Data Driven Approach.- An Abstract Approach Toward the Evaluation of Fuzzy Rule Systems.- Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic.- The Fusion of Genetic Algorithms and Fuzzy Classification for Transient Identification.- The Role of Fuzziness in Decision Making.- Fuzzy Linear Bilevel Optimization: Solution Concepts, Approaches and Applications.- Fuzzy Predictive Earth Analysis Constrained by Heuristics Applied to Stratigraphic Modeling.- Fuzzy Logic for Modeling the Management of Technology.

Editorial Reviews

From the reviews:

"This book has four objectives: to give newcomers a clear idea … to give people familiar with fuzzy logic an indication of where fuzzy logic can most effectively proceed, to give funding agencies a picture of where their investment would produce maximum returns, and to give scientific and mathematical philosophers a picture of the state-of-the-art in fuzzy logic research. … This comprehensive, up-to-date book certainly deserves a place in the libraries of all institutions … . Summing Up: Recommended. Upper-division undergraduates through professionals." (R. Bharath, CHOICE, Vol. 45 (7), 2008)

From the Publisher