An objective formulation of membership function based on fuzzy entropy and pairwise comparison
Author:
Affiliation:
1. Department of Industrial and Management Systems Engineering, Waseda University, Okubo, Shinjuku, Tokyo, Japan
2. Department of Industrial Engineering and Management, Kanagawa University, Rokkakubashi, Kanagawa-ku, Yokohama, Kanagawa, Japan
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference21 articles.
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3. Estimation of fuzzy membership from histograms;Bharathi;Information Sciences,1985
4. Membership function I: Comparing methods of Measurement;Chameau;International Journal of Approximate Reasoning,1987
5. Automatically detemine the membership function based on the maximum entropy principle;Cheng;Information Sciences,1997
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