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

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.
1. Future Vision of Fuzzy Engineering.- 2. Decision Support System.- 2. 1 What is a decision support system ? - A case study of a foreign exchange dealing support expert system -.- 2. 2 Condition recognition in the decision support system.- 2. 3 Fuzzy evaluation and decision making in the decision support system.- 2. 4 Foreign exchange dealing supporting expert system - FOREX-.- 2.5 Prospects for the future.- References.- 3. Intelligent Plant Operation Support.- 3. 1 Functions desired for plant operation support.- 3. 2 Operation support system and background technologies.- 3. 3 Simulation by the simplified model.- 3. 4 Summary and prospects.- References.- 4. Fuzzy Modeling and Process Control System Design.- 4. 1 Subject for process control.- 4. 2 Fuzzy modeling of processes.- 4. 3 Control system design using a fuzzy model.- 4. 4 Application examples.- 4. 5 Epilogue.- References.- 5. Inference Function for Understanding Linguistic Instructions.- 5. 1 Linguistic fuzziness and inference.- 5. 2 Understanding linguisticlƒƒ