Fuzzy Cognitive Maps: A Business Intelligence Discussion

Gonzalo Nápoles*, Greg Van Houdt, Manal Laghmouch, Wouter Goossens, Quinten Moesen, Benoît Depaire

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Modeling complexNápoles, Gonzalo systems by means of computational models has enabled experts toHoudt, Greg Van understand the problem domain without the need of waiting for the realLaghmouch, Manal events to happen. In that regard, fuzzy cognitive maps (FCMs) haveGoossens, Wouter become an important tool in the neural computing fieldMoesen, Quinten because of their flexibility and transparency. However, obtaining a modelDepaire, Benoît able to align its dynamical behavior with the problem domain is not always trivial. In this paper, we discuss some aspects to be considered when designing FCM-based simulation models by relying on a business intelligence case study. In a nutshell, when the fixed point is unique, we recommend to focus on the number of iterations to converge instead of focusing on the reached attractor and stress the importance of the transfer function chosen in the model.
Original languageEnglish
Title of host publicationIntelligent Decision Technologies 2019
Number of pages10
Publication statusPublished - 2020
Externally publishedYes
Event11th KES International Conference on Intelligent Decision Technologies -
Duration: 17 Jun 2019 → …


Conference11th KES International Conference on Intelligent Decision Technologies
Period17/06/19 → …


Dive into the research topics of 'Fuzzy Cognitive Maps: A Business Intelligence Discussion'. Together they form a unique fingerprint.

Cite this