Improved behavioral analysis of fuzzy cognitive map models

Miklós F. Hatwagner, Gyula Vastag, Vesa A. Niskanen, L. Kóczy

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

1 Citation (Scopus)

Abstract

Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex systems and their interconnections. The popularity of FCMs is mostly based on their simple system representation, easy model creation and usage, and its decision support capabilities. The preferable way of model construction is based on historical, measured data of the investigated system and a suitable learning technique. Such data are not always available, however. In these cases experts have to define the strength and direction of causal connections among the components of the system, and their decisions are unavoidably affected by more or less subjective elements. Unfortunately, even a small change in the estimated strength may lead to significantly different simulation outcome, which could pose significant decision risks. Therefore, the preliminary exploration of model ‘sensitivity’ to subtle weight modifications is very important to decision makers. This way their attention can be attracted to possible problems. This paper deals with the advanced version of a behavioral analysis. Based on the experiences of the authors, their method is further improved to generate more life-like, slightly modified model versions based on the original one suggested by experts. The details of the method is described, its application and the results are presented by an example of a banking application. The combination of Pareto-fronts and Bacterial Evolutionary Algorithm is a novelty of the approach.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Proceedings
PublisherSpringer Verlag
Pages630-641
Number of pages12
ISBN (Print)9783319912615
DOIs
Publication statusPublished - Jan 1 2018
Event17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018 - Zakopane, Poland
Duration: Jun 3 2018Jun 7 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10842 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018
CountryPoland
CityZakopane
Period6/3/186/7/18

Keywords

  • Bacterial evolutionary algorithm
  • Banking
  • Fuzzy cognitive maps
  • Model uncertainty
  • Multi-objective optimization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hatwagner, M. F., Vastag, G., Niskanen, V. A., & Kóczy, L. (2018). Improved behavioral analysis of fuzzy cognitive map models. In Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Proceedings (pp. 630-641). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10842 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-91262-2_55