Fuzzy Logic and Fuzzy Control: IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control Sydney, Australia, August 24, 1991 Proceedings

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This volume contains the thoroughly refereed and revised papers accepted for presentation at the IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, held during the International Joint Conference on AI at Sydney, Australia in August 1991. The 14 technical contributions are devoted to several theoretical and applicational aspects of fuzzy logic and fuzzy control; they are presented in sections on theoretical aspects of fuzzy reasoning and fuzzy control, fuzzy neural networks, fuzzy control applications, fuzzy logic planning, and fuzzy circuits. In addition, there is a substantial introduction by the volume editors on the latest developments in the field that brings the papers presented into line.

Author(s): Didier Dubois, Henri Prade (auth.), Dimiter Driankov, Peter W. Eklund, Anca L. Ralescu (eds.)
Series: Lecture Notes in Computer Science 833 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1994

Language: English
Pages: 168
Tags: Artificial Intelligence (incl. Robotics); Pattern Recognition; Computer-Aided Engineering (CAD, CAE) and Design; Control Engineering

Basic issues on fuzzy rules and their application to fuzzy control....Pages 1-14
Algebraic structures of truth values in fuzzy control....Pages 15-21
A theory of mass assignments for artificial intelligence....Pages 22-34
Fuzzy dynamic systems....Pages 35-44
Handling uncertainty, context, vague predicates, and partial inconsistency in possibilistic logic....Pages 45-55
An adaptive fuzzy model-based controller....Pages 56-66
Fuzzy representations in neural nets....Pages 67-81
A method to implement qualitative knowledge in multi-layered neural network....Pages 82-95
Fuzzy control and neural networks: Applications for consumer products....Pages 97-105
Case-based reasoning for action planning by representing situations at the abstract layers....Pages 107-122
A unified formalism for landmark based representation of maps and navigation plans....Pages 123-132
Using fuzzy logic in a mobile robot path controller....Pages 133-142
Fundamentals of fuzzy logical circuits....Pages 143-157