Nonlinear cause-effect relationships in Fuzzy Cognitive Maps

Maria K. Ketipi, Dimitrios E. Koulouriotis, Evangelos G. Karakasis, George A. Papakostas, Vassilios D. Tourassis

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

2 Citations (Scopus)

Abstract

Fuzzy Cognitive Maps (FCMs) have been widely used for a plethora of applications, exploiting its ability to represent the knowledge and the dynamics of a system. The diversity of inference mechanisms, which have been proposed until nowadays, discloses the effort for an effective concept value calculation methodology. In contrast with the most research efforts which consider a linear relation of the influence that a concept exercise to another concept, in this paper a nonlinear representation of that influence is introduced. The importance which is associated with the proposed methodology is that a nonlinear cause-effect relationship strengthens the behavior of an FCM through the simulation process. The analysis of this proposal through a progressive reasoning is followed by appropriately selected problems.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages836-843
Number of pages8
DOIs
Publication statusPublished - Sep 27 2011
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: Jun 27 2011Jun 30 2011

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan
CityTaipei
Period6/27/116/30/11

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Keywords

  • Cause-effect relationships
  • Cognitive inference
  • Concept influence
  • Generalized logistic function

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Ketipi, M. K., Koulouriotis, D. E., Karakasis, E. G., Papakostas, G. A., & Tourassis, V. D. (2011). Nonlinear cause-effect relationships in Fuzzy Cognitive Maps. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 836-843). [6007554] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007554