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Fuzzy sequential circuit based on weight-added fuzzy flip-flop

  • Norikazu Ikoma*
  • , Kazuhiro Ozawa
  • , Kaoru Hirota
  • , Witold Pedrycz
  • *Corresponding author for this work
  • The Graduate University for Advanced Studies

Research output: Contribution to conferencePaperpeer-review

Abstract

This study introduces the fuzzy sequential circuit and its learning algorithm. The circuit is composed of the weight-added fuzzy flip-flops constructed by weight-added AND/OR elements. The modelling process of the fuzzy sequential circuit is illustrated using a part of a small economic model wherein each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationships of cause and effect are realized by the ordinary AND/OR elements. These cause and effect defines the topology of fuzzy sequential circuit. Finally, the learning algorithm is used to estimate the weight parameters of each weight-added fuzzy flip-flop.

Original languageEnglish
Pages291-296
Number of pages6
Publication statusPublished - 1994
Externally publishedYes
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: 26 Jun 199429 Jun 1994

Conference

ConferenceProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period26/06/9429/06/94

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