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

fYear

1994

fDate

26-29 Jun 1994

Firstpage

291

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZY.1994.343630

Filename

343630