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Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and Applications)

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Published by Academic Press .
Written in English

Subjects:

  • Computer modelling & simulation,
  • Fuzzy set theory,
  • Knowledge-based systems / expert systems,
  • Neural Networks,
  • Applied Artificial Intelligence,
  • Computers,
  • Computers - Communications / Networking,
  • Computer Books: General,
  • Expert Systems,
  • Networking - General,
  • Computers / Neural Networks,
  • Computers-Expert Systems,
  • Computers-Networking - General

Book details:

The Physical Object
FormatHardcover
Number of Pages416
ID Numbers
Open LibraryOL9282539M
ISBN 100124438660
ISBN 109780124438668

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Abstract. This book examines the design of the expert computer system and how fuzzy systems can be used to deal with imprecise information. As the author explores the effects of semantic systems on decision support systems, he asserts that the utilization of fuzzy set theory can help an expert system draw from its knowledge base more efficiently and therefore make more accurate and reliable. This book promotes new research results in the field of advanced fuzzy logic applications. The book has eight chapters, with the following thematic areas: fuzzy mathematics, adaptive neuro-fuzzy inference system, inference methods, expert systems, electrical systems, and application in management and field-programmable gate array. The introductory chapter aims to recall some algebraic. "Fuzzy Expert Systems and Fuzzy Reasoning" is a beautiful and surprisingly small book (effectively pages, the long appendix consists mostly of the flops sample programs). You will find an introduction to rule based systems, to fuzzy logic and at the core of this book to inference in fuzzy expert by: Get this from a library! Fuzzy logic and expert systems applications. [Cornelius T Leondes] -- This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control.

10 Fuzzy Sets and Expert Systems Introduction to Expert Systems Uncertainty Modeling in Expert Systems Applications 11 Fuzzy Control Origin and Objective Automatic Control The Fuzzy Controller Types of Fuzzy Controllers The Mamdani Controller Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students download: link1 link2 Back to Home. Other chapters consider bus scheduling, evaluation of structural reliability, applications of schema systems for decision-making, and processing of natural-language information and systems for medical diagnosis as examples of fuzzy expert systems. This book discusses as well a practical fuzzy expert system for durability evaluations of. Fuzzy Logic and Expert Systems Applications by Cornelius T Leondes (Editor) starting at $ Fuzzy Logic and Expert Systems Applications has 1 available editions to buy at Half Price Books Marketplace.

Fuzzy Logic for Embedded Systems Applications, by a recognized expert in the field, covers all the basic theory relevant to electronics design, with particular emphasis on embedded systems, and shows how the techniques can be applied to shorten design cycles and handle logic problems that are tough to solve using conventional linear techniques. The book has eight chapters, with the following thematic areas: fuzzy mathematics, adaptive neuro-fuzzy inference system, inference methods, expert systems, electrical systems, and application in. Neural Network Systems Techniques and Applications, Fuzzy Logic and Expert Systems Applications, Volume 6 by Leondes, Cornelius T. and a great selection of related books, art and collectibles available now at The combination of fuzzy logic and expert systems is a fundamental technique flowing directly from the nature of fuzzy logic. Fuzzy expert systems are currently the most popular use of fuzzy logic with many applications now operational in a diverse range of by: 1.