Summary of fuzzy flip-flop

Kazuhiro Ozawa*, Kaoru Hirota, Laszlo T. Koczy, Witold Pedrycz, Norikazu Ikoma

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

In this paper the characteristics of the fuzzy flip-flop which was proposed as a fuzzy sequential circuit is firstly mentioned. Secondary the circuit construction of typical fuzzy flip-flip-circuit using VHDL(Very High speed integrated circuit Hardware Description Language) compiler and simulator is presented. Secondary the fuzzy sequential circuit and its learning algorithm are proposed. The fuzzy sequential circuit consists of the weight-added fuzzy flip-flop. The weight-added fuzzy flip-flop is constructed by weight added AND/OR elements. To illustrate the modeling process of the fuzzy sequential circuit, it is applied to a part of small economic model. In this example, each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationship of cause and effect are realized by supplementary using of the ordinary AND/OR elements. To topology of the 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 here.

Original languageEnglish
Pages1641-1648
Number of pages8
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: 20 Mar 199524 Mar 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period20/03/9524/03/95

Fingerprint

Dive into the research topics of 'Summary of fuzzy flip-flop'. Together they form a unique fingerprint.

Cite this

Ozawa, K., Hirota, K., Koczy, L. T., Pedrycz, W., & Ikoma, N. (1995). Summary of fuzzy flip-flop. 1641-1648. Paper presented at Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn.