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Fuzzy expert systems and fuzzy reasoning /

Siler (Kemp-Carraway Heart Institute) and Buckley (mathematics, U. of Alabama) explore the emulation of human thought, complete with its capability to deal with uncertainties, ambiguities, and contradictions. They examine rule-based and neural net systems and give theories and methods readers can us...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Siler, William
Other Authors: Buckley, James J., 1936-
Format: Electronic eBook
Language:Inglés
Published: Hoboken, N.J. : Wiley-Interscience, ©2005.
Subjects:
Online Access:Texto completo
Table of Contents:
  • FUZZY EXPERT SYSTEMS AND FUZZY REASONING; CONTENTS; Preface; 1 Introduction; 2 Rule-Based Systems: Overview; 3 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: I; 4 Fuzzy Logic, Fuzzy Sets, and Fuzzy Numbers: II; 5 Combining Uncertainties; 6 Inference in an Expert System I; 7 Inference in a Fuzzy Expert System II: Modification of Data and Truth Values; 8 Resolving Contradictions: Possibility and Necessity; 9 Expert System Shells and the Integrated Development Environment (IDE); 10 Simple Example Programs; 11 Running and Debugging Fuzzy Expert Systems I: Parallel Programs.