Parameter dependence of fuzzy cognitive maps' behaviour

Miklos F. Hatwagner, Andras Torma, L. Kóczy

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

1 Citation (Scopus)

Abstract

Stakeholder Relationship Management Systems (SRMS) are conventionally analyzed by a static way, which hides the interconnections of the system. Authors investigated a novel approach to make the evaluation of the interconnections of the SRMS and their behavior achievable. The Fuzzy Cognitive Maps (FCM) is a proper tool to investigate the properties of SRMS. The simulation of SRMS with FCM supports the business management process and different project support activities. If the factors of SRMS themselves, the initial states of them and causality relations among them are already determined, a simulation can be easily carried out. In some specific situations the results of the simulation is hard to use in practice, however. If the differences between factor states are very small, the order (importance) of factors cannot be defined. In such cases the modification of the threshold function's parameter can help to better separate final factor states. This paper deals with the investigation of this approach.

Original languageEnglish
Title of host publication2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479978625
DOIs
Publication statusPublished - Sep 8 2015
Event10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia
Duration: May 31 2015Jun 3 2015

Other

Other10th Asian Control Conference, ASCC 2015
CountryMalaysia
CityKota Kinabalu
Period5/31/156/3/15

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Keywords

  • Fuzzy Cognitive Maps
  • parameter settings
  • Stakeholder Relationship Management System

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Hatwagner, M. F., Torma, A., & Kóczy, L. (2015). Parameter dependence of fuzzy cognitive maps' behaviour. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 [7244823] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244823