Fuzzy logic in knowledge-based systems, decision and control

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Bibliographic Information

Fuzzy logic in knowledge-based systems, decision and control

edited by Madan M. Gupta and Takeshi Yamakawa

North-Holland , Sole distributors for the U.S.A. and Canada, Elsevier Science, 1988

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Bibliography: p. 389-403

Description and Table of Contents

Description

For this expanding information - based technological society, this timely volume is a source of many new ideas and authoritative exposition of techniques which are central to the theory of fuzzy logic and its applications to knowledge-based systems, decision and control. This exposition has been provided by some thirty-two researchers from fifteen countries. In particular, the articles in this volume deal with the theory of fuzzy logic and its applications to knowledge-based systems and decision and control problems, covering a broad spectrum of topics ranging from classification structures and computer vision to team decision problems, forecasting and statistics. They clarify some of the outstanding problems, introduce new concepts and techniques, and point to novel applications.

Table of Contents

  • Theory of Fuzzy Logic. (Papers by: M.M. Gupta
  • E. Hisdal
  • M.M. Gupta, G.K. Knopf, P.N. Nikiforuk
  • B. Bouchon
  • M. Zeleny
  • H.J. Skala
  • S.T. Wierzchon
  • J.J. Buckley, W. Siler
  • E.E. Kerre, A. van Schooten
  • S. Gottwald
  • W. Pedrycz
  • L. Hongxing
  • D. Butnariu
  • M.K. Chakraborty
  • J. Montero
  • W. Ostasiewicz). Applications in Knowledge-Based Systems, Decision and Control. (Papers by: A.F. Rocha, M. Theoto, P. Torasso
  • T. Xiangchu, T. Chengyuan
  • T. Onisawa
  • X. Chunxi, C. Shiquan
  • H. Nojiri
  • A. Kandel, B. Heshmathy
  • F. Azorin). Appendices.

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