DocumentCode
3263585
Title
Generating consensus fuzzy cognitive maps
Author
Bryson, Noel ; Mobolurin, Ayodele ; Joseph, Anito
Author_Institution
Inf. Syst. & Anal. Dept., Howard Univ., Washington, DC, USA
fYear
35765
fDate
8-10 Dec1997
Firstpage
231
Lastpage
235
Abstract
The Fuzzy Cognitive Maps (FCM) of B. Kosko (1986) are useful tools for exploring the impacts of inputs to fuzzy dynamical systems. The development of an FCM often occurs within a group context because it is felt that the variety of perspectives on the given dynamical system improves the effort to identify the relevant concepts and the causal relationships between the concepts. The assumption is that combining incomplete, conflicting opinions of different experts may cancel out the effects of oversight, ignorance and prejudice. There is also then need to accommodate the inherent fuzziness of the problem. We present an integrated process for rating of the intensity of causal relationships, generating mean FCMs, assessing group consensus, and supporting the building of group consensus
Keywords
cognitive systems; directed graphs; fuzzy set theory; fuzzy systems; human factors; knowledge representation; user modelling; causal relationships; conflicting opinions; consensus fuzzy cognitive map generation; dynamical system; fuzzy dynamical systems; group consensus; group context; inherent fuzziness; integrated process; Delay; Fuzzy cognitive maps; Information analysis; Quantum cascade lasers; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location
Grand Bahama Island
Print_ISBN
0-8186-8218-3
Type
conf
DOI
10.1109/IIS.1997.645234
Filename
645234
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