Title :
Fuzzy sequential circuit based on weight-added fuzzy flip-flop
Author :
Ikoma, Norikazu ; Ozawa, Kazuhiro ; Hirota, Kaoru ; Pedrycz, Witold
Author_Institution :
Dept. of Stat. Math., Graduate Univ. for Adv. Studies, Tokyo, Japan
Abstract :
The fuzzy sequential circuit and its learning algorithm are proposed. The circuit consists of the weight-added fuzzy flip-flops. The weight-added fuzzy flip-flop is constructed by weight-added AND/OR elements. To illustrate the modeling process of the fuzzy sequential circuit, the circuit is applied to part of a small economic model. In this example, each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationships of cause and effect are realized by supplementary using of the ordinary AND/OR elements. The topology of fuzzy sequential circuit is defined by the relationships of cause and effect. The weight parameters of each weight-added fuzzy flip-flop are estimated by the learning algorithm proposed
Keywords :
flip-flops; fuzzy logic; learning (artificial intelligence); logic gates; network topology; sequential circuits; AND elements; OR elements; economic model; fuzzy sequential circuit; learning algorithm; recurrent network representation; topology; weight parameters; weight-added fuzzy flip-flop; Adders; Biological system modeling; Difference equations; Feedback control; Flip-flops; Fuzzy control; Fuzzy logic; Fuzzy systems; Mathematical model; Sequential circuits;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343630
