28 research outputs found
FUZZY LABELS, IMPRECISION AND CONTEXTUAL DEPENDENCY Comments on Milan Zelený's “Cognitive Equilibrium: a Knowledge-based Theory of Fuzziness and Fuzzy Sets”
Environmental metabolism of educational services. Case study of nursery schools in the city of Barcelona
Artificial Intelligence Concepts and Petri Nets for Modelling Simulation and Control of Flexible Manufacturing Systems
Life cycle assessment comparison among different reuse intensities for industrial wooden containers
Fuzzy Logic, Control Engineering and Artificial Intelligence
International audienceThe 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