Applied Research in Fuzzy Technology

1. Front Matter

   Pages i-xvii

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2. Future Vision of Fuzzy Engineering

   • Toshiro Terano

   Pages 1-15

3. Decision Support System

   • Satoru Fukami, Minoru Yoneda

   Pages 17-66

4. Intelligent Plant Operation Support

   • Minoru Yoneda, Hiroshi Tsunekawa

   Pages 67-101

5. Fuzzy Modeling and Process Control System Design

   • Kazuyuki Suzuki

   Pages 103-138

6. Inference Function for Understanding Linguistic Instructions

   • Toshihiko Yokogawa

   Pages 139-213

7. Fuzzy Theory in an Image Understanding Retrieval System

   • Toshio Norita

   Pages 215-251

8. Research into Intelligent Behavior Decision Making of Robots

   • Yoichiro Maeda

   Pages 253-293

9. Fuzzy Neural Net System

   • Toru Yamaguchi, Kenji Goto, Tomohiro Takagi

   Pages 295-369

10. Fuzzy Expert System Shell

    • Shun’ichi Tano

    Pages 371-400

11. The Fuzzy Computer

    • Hidekazu Tokunaga, Seiji Yasunobu

    Pages 401-450

12. Back Matter

    Pages 451-457

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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.

• behavior
• control
• decision support system
• evolution
• expert system
• fuzzy
• fuzzy control
• fuzzy logic
• mathematics
• mobile robot
• modeling
• robot

`... 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)

• Laboratory for International Fuzzy Engineering, Yokohama, Japan

  Anca L. Ralescu

• University of Cincinnati, Cincinnati, USA

  Anca L. Ralescu

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