Fuzzy logic and fuzzy control : IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991 : proceedings

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...

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Главный автор: Driankov, Dimiter
Корпоративные авторы: International Joint Conference on Artificial Intelligence (Автор), Workshop on Fuzzy Logic and Fuzzy Control (Автор)
Другие авторы: Eklund, Peter, 1962- (Публикующий директор), Ralescu, Dan A., 19..- (Публикующий директор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Серии:Lecture notes in computer science. Lecture notes in artificial intelligence 833
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Edition sous un autre format:• Fuzzy logic and fuzzy control, IJCAI '91 Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991, proceedings, Dimiter Driankow, Peter W. Eklund, Anca Ralescu, eds, Berlin, Springer-Verlag, 1994, 1 volume (XII-157 pages), Lecture notes in computer science, 3-540-58279-7
• Fuzzy Logic and Fuzzy Control, Texte imprimé, 9783662187425
Оглавление:
  • 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.