Fuzzy logic, control engineering and artificial intelligence - Université Toulouse 1 Capitole Accéder directement au contenu
Chapitre D'ouvrage Année : 1999

Fuzzy logic, control engineering and artificial intelligence

Résumé

The term fuzzy logic is rather ambiguous because it refers to problems and methods that belong to different fields of investigation. When scanning the literature, it is possible to find three meanings for the expression fuzzy logic. In its most popular perception, it refers to numerical computations based on fuzzy rules, for the purpose of modeling a control law in systems engineering. However, in the mathematical literature, fuzzy logic means multiple-valued logics, with the purpose of modeling partial truth values and vagueness. Lastly, in Zadeh’s papers, fuzzy logic is better understood as fuzzy set-based methods for approximate reasoning at large, and approximate reasoning is a subtopic of Artificial Intelligence. This state of facts creates communication problems between researchers in the fuzzy set area and, consequently, outside the fuzzy world as well. Indeed the fields concerned with fuzzy logic, and that use this terminology, are Control Engineering, Formal Logic and Artificial Intelligence. Some of those fields almost never communicate with one another.

Dates et versions

hal-04013760 , version 1 (03-03-2023)

Identifiants

Citer

Didier Dubois, Henri Prade, Laurent Ughetto. Fuzzy logic, control engineering and artificial intelligence. Henk B. Verbruggen; Hans-Jürgen Zimmermann; Robert Babuška. Fuzzy Algorithms for control, 14, Kluwer; Springer Netherlands, pp.17--57, 1999, International Series in Intelligent Technologies book series (ISIT), 978-94-010-5893-3. ⟨10.1007/978-94-011-4405-6_2⟩. ⟨hal-04013760⟩
6 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More