Fuzzy Expert System Tools

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Moti Schneider (Florida Tech and Tel-Aviv University, Israel) Gideon Langholz (Tel-Aviv University, Israel)

Fuzzy Expert System Tools

Moti Schneider (Florida Tech and Tel-Aviv University, Israel), Gideon Langholz (Tel-Aviv University, Israel), Abraham Kandel (University of South Florida) , Gerard Chew (Florida Tech)

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English

John Wiley & Sons Inc
26 April 1996

Mathematical logic; Fuzzy set theory; Expert & knowledge-based systems

Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human decision-making in uncertain environments. Complimentary to the text is a software package containing executable FEST code. The text contains a detailed description of FEST and its coherent and systematic exploitation.

By: Moti Schneider (Florida Tech and Tel-Aviv University Israel), Gideon Langholz (Tel-Aviv University, Israel), Abraham Kandel (University of South Florida), Gerard Chew (Florida Tech)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 250mm, Width: 174mm, Spine: 23mm
Weight: 539g
ISBN: 9780471958673
ISBN 10: 0471958670
Pages: 220
Publication Date: 26 April 1996
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Getting Started. Fuzzy Set Theory. Possibility/Probability Consistency Principle. Knowledge Representation. Imprecision and Fuzzy Logic. Knowledge Processing. Knowledge in FEST. Inference Engine. The Fuzzy Inference Engine. Fuzzy Inference in FEST. References. Index.

Moti Schneider and Gideon Langholz are the authors of Fuzzy Expert System Tools, published by Wiley.