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

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Overview

How far can you take fuzzy logic, the brilliant conceptual framework made famous by George Klir? With this book, you can find out. The authors of this updated edition have extended Klir’s work by taking fuzzy logic into even more areas of application. It serves a number of functions, from an introductory text on the concept of fuzzy logic to a treatment of cutting-edge research problems suitable for a fully paid-up member of the fuzzy logic community.

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Editorial Reviews

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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)

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Product Details

  • ISBN-13: 9783540712572
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 6/3/2007
  • Series: Studies in Fuzziness and Soft Computing Series , #215
  • Edition description: 2007
  • Edition number: 1
  • Pages: 475
  • 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.

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