Fuzzy Logic and Fuzzy Control
IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991. Proceedings
Published on 30. August 1994
Book
Paperback/Softback
XII, 168 pages
978-3-540-58279-3 (ISBN)
Description
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.
More details
Series
Edition
1994 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XII, 168 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
283 gr
ISBN-13
978-3-540-58279-3 (9783540582793)
DOI
10.1007/3-540-58279-7
Schweitzer Classification
Content
Basic issues on fuzzy rules and their application to fuzzy control.- Algebraic structures of truth values in fuzzy control.- A theory of mass assignments for artificial intelligence.- Fuzzy dynamic systems.- Handling uncertainty, context, vague predicates, and partial inconsistency in possibilistic logic.- An adaptive fuzzy model-based controller.- Fuzzy representations in neural nets.- A method to implement qualitative knowledge in multi-layered neural network.- Fuzzy control and neural networks: Applications for consumer products.- Case-based reasoning for action planning by representing situations at the abstract layers.- A unified formalism for landmark based representation of maps and navigation plans.- Using fuzzy logic in a mobile robot path controller.- Fundamentals of fuzzy logical circuits.