Belief Degree-Distributed Fuzzy Cognitive Maps

摘要：

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.

作者: Lusine Mkrtchyan Da Ruan

作者单位: IMT Lucca Institute for Advanced Studies P.zza San Ponziano 6, 55100 Lucca, Italy Belgian Nuclear Research Centre (SCKICEN), 2400 Mol, Belgium Ghent University, 9000 Gent, Belgium

会议类型: 国际会议

会议名称: The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 159-165

在线出版日期: 2010-11-15（万方平台首次上网日期，不代表论文的发表时间）