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Fuzzy Expert System Tools - Moti Schneider

Fuzzy Expert System Tools

By: Moti Schneider, Gideon Langholz, Abraham Kandel, Gerard Chew

Hardcover | 23 July 1996 | Edition Number 1

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Fuzzy Expert System Tools Moti Schneider Florida Tech, Melbourne, USA Abraham Kandel University of South Florida, Tampa, USA Gideon Langholz Tel-Aviv University, Israel Gerard Chew Florida Tech, Melbourne, USA Fuzzy set theory provides a framework for representing uncertainty. As increasing importance is being given to uncertainty management in intelligent systems, fuzzy inferencing procedures are vital. Using Fest (Fuzzy Expert System Tools), the authors focus on the parameters of fuzzy rule-based systems. The book then goes on to show how Fest can be used for inference of indistinct data and algorithmic descriptions. Divided into three parts, this comprehensive text covers the characteristics of expert systems and fuzzy sets theory, knowledge representation and the inference process. Features include:
  • Incorporation of uncertainty management and fuzzy logic in soft expert systems
  • Coverage of the processes of knowledge acquisition, representation, and generation
  • Novel ideas in approaching fuzzy inferencing
  • Notions pertaining to flexible grammar and the use of synonyms
Written by international experts, this is an invaluable reference for engineers and computer scientists working in the areas of expert systems, fuzzy logic systems and applications of fuzzy logic both in industry and academia. The accompanying disk will allow readers to practice the methods introduced and thus highlight the power of fuzzy logic when combined with expert system technology.

You Can Find This Book In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceExpert Systems & Knowledge-Based SystemsComputer Programming & Software DevelopmentEngineering & TechnologyElectronics & Communications EngineeringMathematicsApplied MathematicsFuzzy Set TheoryMathematical Foundation
Mathematical LogicSet TheoryOperating Systems

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