Fuzzy Logic and Fuzzy Control de Dimiter Driankov

Fuzzy Logic and Fuzzy Control: IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991. Proceedings: Lecture Notes in Computer Science, cartea 833

Dimiter Driankov

Peter W. Eklund

Anca L. Ralescu

en Limba Engleză Paperback – 30 aug 1994

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.

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Specificații

ISBN-13: 9783540582793
ISBN-10: 3540582797
Pagini: 180
Ilustrații: XII, 168 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

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.