Extended fuzzy cognitive maps

Research output: Chapter in Book/Report/Conference proceedingConference contribution

113 Citations (Scopus)

Abstract

Fuzzy cognitive maps (FCMs) have been proposed to represent causal reasoning by using numeric processing. They graphically represent uncertain causal reasoning. In the resonant states, there emerges a limit cycle or a hidden pattern, which is a FCM inference. However, there are some shortcomings concerned with knowledge representation in the conventional FCMs. The author proposes extended fuzzy cognitive maps (E-FCMs) to represent causal relationships more naturally. The features of the E-FCMs are nonlinear membership functions, conditional weights, and time delay weights. Computer simulation results indicate the effectiveness of the E-FCMs.

Original languageEnglish
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherPubl by IEEE
Pages795-801
Number of pages7
ISBN (Print)0780302362
Publication statusPublished - 1992 Dec 1
Event1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE - San Diego, CA, USA
Duration: 1992 Mar 81992 Mar 12

Publication series

Name92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE

Other

Other1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
CitySan Diego, CA, USA
Period92/3/892/3/12

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hagiwara, M. (1992). Extended fuzzy cognitive maps. In 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE (pp. 795-801). (92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE). Publ by IEEE.