A New Intuitionitic Fuzzy Cognitive Maps Building Method

Title
A New Intuitionitic Fuzzy Cognitive Maps Building Method
Publication Date
2011
Author(s)
Despi, Ioan
Song, Gu Yin
Chakrabarty, Kankana
Editor
Editor(s): Yongsheng Ding, Yongmin Li, Zhun Fan, Shaoyuan Li, Lipo Wang
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Los Alamitos, United States of America
DOI
10.1109/FSKD.2011.6019596
UNE publication id
une:10378
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.
Link
Citation
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), v.1, p. 593-597
ISBN
9781612841816
Start page
593
End page
597

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