Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature...

詳細記述

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書誌詳細
主要な著者: Kai, Meng Tay, Chee, Peng Lim
フォーマット: E-Article
言語:English
出版事項: IEEE 2011
主題:
オンライン・アクセス:http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf
http://ir.unimas.my/id/eprint/559/
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