Belief degree-distributed fuzzy cognitive maps

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Abstract

Cognitive maps (CMs) were initially for graphical representation of uncertain causal reasoning. Later Kosko suggested Fuzzy Cognitive Maps (FCMs) in which users freely express their opinions in linguistic terms instead of crisp numbers. However, it is not always easy to assign some linguistic term to a causal link. In this paper we suggest a new type of CMs namely, Belief Degree-Distributed FCMs (BDD-FCMs) in which causal links are expressed by belief structures which enable getting the links’ evaluations with distributions over the linguistic terms. In addition, we propose a general framework to construct BDD-FCMs by directly using belief structures or other types of structures such as interval values, linguistic terms, or crisp numbers. The proposed framework provides a more flexible tool for causal reasoning as it handles any kind of structures to evaluate causal links.

Details

Original languageEnglish
Title of host publicationProceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering
Place of PublicationBeijing, China
Pages159-165
Volume1
Publication statusPublished - Nov 2010
Event2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering - ISKE2010, Hangzhou, China
Duration: 15 Nov 201016 Nov 2010

Conference

Conference2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering
CountryChina
CityHangzhou
Period2010-11-152010-11-16

Keywords

  • Cognitive maps, fuzzy cognitive maps, belief degree, linguistic information, uncertainty

ID: 324346