A fast defuzzification method for general type-2 fuzzy sets

Shuai Liu, Yaping Dai*, Kaoru Hirota, Chang Liu

*此作品的通讯作者

科研成果: 会议稿件论文同行评审

摘要

In this study, a fast and steady defuzzification method (the limited embedded sets algorithm) for general type-2 fuzzy sets is introduced. Depending on the generalized centroid of general type-2 fuzzy sets and the reduction of the encountered embedded fuzzy sets, this algorithm develops fast (save more than 60% time than the geometric method) and steadily (the deviation is 0 with several runs). To show the performance, experimental studies are reported based on two kinds of general type-2 fuzzy sets-the triangular primary and triangular secondary fuzzy set (symmetric) and the parabolic primary and triangular secondary fuzzy set (asymmetric).

源语言英语
出版状态已出版 - 2017
活动5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, 中国
期限: 2 11月 20175 11月 2017

会议

会议5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017
国家/地区中国
Beijing
时期2/11/175/11/17

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