Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10185
Title: A New Intuitionitic Fuzzy Cognitive Maps Building Method
Contributor(s): Despi, Ioan (author); Song, Gu Yin (author); Chakrabarty, Kankana  (author)
Publication Date: 2011
DOI: 10.1109/FSKD.2011.6019596
Handle Link: https://hdl.handle.net/1959.11/10185
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.
Publication Type: Conference Publication
Conference Details: FSKD 2011: Eighth International Conference on Fuzzy Systems and Knowledge Discovery, Shanghai, China, 26th - 28th July, 2011
Source of Publication: Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), v.1, p. 593-597
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: Los Alamitos, United States of America
Fields of Research (FoR) 2008: 080299 Computation Theory and Mathematics not elsewhere classified
Socio-Economic Objective (SEO) 2008: 890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication

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