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A New Intuitionitic Fuzzy Cognitive Maps Building Method

Ioan Despi, Gu Yin Song, Kankana Chakrabarty

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

Abstract

When modeling complex systems, conventional methodologies are recognized to be limited. Because of their fuzzy feedback structure of causality, Fuzzy Cognitive Maps (FCMs) have been seen as a promising alternative in multiple domains as a support for decision making and systems modeling. In an attempt to improve this framework, we extend it by considering both determinacy and indeterminacy of experts when assigning weights to causal relations between concepts such that a new initutionistic fuzzy method for constructing FCMs is considered. The proposed method largely improves the accuracy of evaluating weights of edges in the FCM models and avoids subjectiveness and indeterminacy while experts are designing the models.
Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
EditorsYongsheng Ding, Yongmin Li, Zhun Fan, Shaoyuan Li, Lipo Wang
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages593-597
Volume1
ISBN (Print)9781612841816
DOIs
Publication statusPublished - 2011
EventFSKD 2011: Eighth International Conference on Fuzzy Systems and Knowledge Discovery - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Conference

ConferenceFSKD 2011: Eighth International Conference on Fuzzy Systems and Knowledge Discovery
CityShanghai, China
Period26/07/1128/07/11

Keywords

  • Computation Theory and Mathematics

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