Applied Research in Fuzzy Technology

Applied Research in Fuzzy Technology : Three years of research at the Laboratory for International Fuzzy Engineering (LIFE), Yokohama, Japan

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Fuzzy logic is `a recent revolutionary technology' which has brought together researchers from mathematics, engineering, computer science, cognitive and behavioral sciences, etc. The work in fuzzy technology at the Laboratory for International Fuzzy Engineering (LIFE) has been specifically applied to engineering problems. This book reflects the results of the work that has been undertaken at LIFE with chapters treating the following topical areas: Decision Support Systems, Intelligent Plant Operations Support, Fuzzy Modeling and Process Control, System Design, Image Understanding, Behavior Decisions for Mobile Robots, the Fuzzy Computer, and Fuzzy Neuro Systems. The book is a thorough analysis of research which has been implemented in the areas of fuzzy engineering technology. The analysis can be used to improve these specific applications or, perhaps more importantly, to investigate more sophisticated fuzzy control applications.
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Product details

  • Hardback | 457 pages
  • 160 x 236.2 x 30.5mm | 612.36g
  • Dordrecht, Netherlands
  • English
  • 1994 ed.
  • XVII, 457 p.
  • 0792394968
  • 9780792394969

Table of contents

Preface. 1: Future Vision of Fuzzy Engineering; T. Terano. 2: Decision Support System; S. Fukami, M. Yoneda. 3: Intelligent Plant Operation Support; M. Yoneda, H. Tsunekawa. 4: Fuzzy Modeling and Process Control System Design; K. Suzuki. 5: Inference Function for Understanding Linguistic Instructions; T. Yokogawa. 6: Fuzzy Theory in an Image Understanding Retrieval System; T. Norita. 7: Research into Intelligent Behavior Decision Making of Robots; Y. Maeda. 8: Fuzzy Neural Net System; T. Yamaguchi, K. Goto, T. Takagi. 9: Fuzzy Expert System Shell -- LIFE FEShell; S. Tano. 10: The Fuzzy Computer; H. Tokunaga, S. Yasunobu. Subject Index.
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Review quote

`... this book is highly recommendable not only as a source of information about the activities of the LIFE laboratory, but even more as an inspiration for essential future developments and applications of fuzzy set techniques.'
Bulletin / Fuzzy Sets and Systems, 76 (1995)
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