Fuzzy control system — Fuzzy control and Fuzzy Control redirect here. For the rock band, see Fuzzy Control (band). A fuzzy control system is a control system based on fuzzy logic a mathematical system that analyzes analog input values in terms of logical variables that … Wikipedia
Fuzzy Control Language — Fuzzy Control Language, or FCL, is a language for implementing fuzzy logic, especially fuzzy control. It was standardized by IEC 61131 7. It is a domain specific programming language: it has no features unrelated to fuzzy logic, so it is… … Wikipedia
Fuzzy cellular neural networks — (FCNN) are special kinds of cellular neural networks. Each cell in an FCNN containing fuzzy operating abilities, yet, the entire network is governed by cellular computing laws. The design of FCNNs is based on fuzzy local rules. FCNNs were… … Wikipedia
Fuzzy associative memory — Research on fuzzy associative memory (FAM) models originated in the early 1990 s with the advent of Kosko s FAM1,2. Like many other associative memory models, Kosko s FAM consists of a single layer feed forward fuzzy neural network that stores… … Wikipedia
Fuzzy associative matrix — A fuzzy associative matrix expresses fuzzy logic rules in matrix form. These rules usually take two variables as input, mapping cleanly to a two dimensional matrix, although theoretically a matrix of any number of dimensions is possible.Let s… … Wikipedia
Rule Interchange Format — Le Rule Interchange Format (RIF ) est une recommandation du W3C. RIF fait partie de la feuille de route du web sémantique, avec principalement SPARQL, RDF et OWL. Bien que prévu initialement par beaucoup comme une couche de règles logiques pour… … Wikipédia en Français
Fuzzy agent — In computer science a fuzzy agent is a software agent that implements fuzzy logic. This software entity interacts with its environment through an adaptive rule base and can therefore be considered as a type of intelligent agent … Wikipedia
Neuro-fuzzy — In the field of artificial intelligence, neuro fuzzy refers to combinations of artificial neural networks and fuzzy logic. Neuro fuzzy was proposed by J. S. R. Jang. Neuro fuzzy hybridization results in a hybrid intelligent system that synergizes … Wikipedia
Genetic fuzzy systems — are fuzzy systems using a genetic algorithm for determining the system parameters.Fuzzy systemsFuzzy systems are fundamental methodologies to represent and process linguistic information, with mechanisms to deal with uncertainty and imprecision.… … Wikipedia
T-norm fuzzy logics — are a family of non classical logics, informally delimited by having a semantics which takes the real unit interval [0, 1] for the system of truth values and functions called t norms for permissible interpretations of conjunction. They are mainly … Wikipedia
