Applications of type-2 fuzzy sets with set approximation approaches: A summary

Chia Wen Chang; Chin Wang Tao

doi:10.1007/978-3-030-45619-1_6

Applications of type-2 fuzzy sets with set approximation approaches: A summary

Chia Wen Chang
, Chin Wang Tao^*

^*此作品的通信作者

Ming Chuan University
National Ilan University Taiwan

研究成果: 圖書/報告稿件的類型 › 章節 › 同行評審

摘要

Although fuzzy control technique has been widely developed in main scientific applications and engineering system, a challenging research problem how to design the appropriate parameters of fuzzy controller in the different applications still has drawn attention of researchers in various fields. Two approximating-based methods included in this paper are summarized from our previous work. One is that the parameters of Gaussian membership function can be approximately calculated when the range and mean of the input data are given. Another is that a best crisp approximation of fuzzy set can be calculated such that an interval type-2 fuzzy set can be reduced to a type-1 fuzzy set.

原文	英語
主出版物標題	Studies in Computational Intelligence
發行者	Springer
頁面	67-92
頁數	26
DOIs	https://doi.org/10.1007/978-3-030-45619-1_6
出版狀態	已出版 - 2021
對外發佈	是

出版系列

名字	Studies in Computational Intelligence
卷	892
ISSN（列印）	1860-949X
ISSN（電子）	1860-9503

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Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

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10.1007/978-3-030-45619-1_6

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AB - Although fuzzy control technique has been widely developed in main scientific applications and engineering system, a challenging research problem how to design the appropriate parameters of fuzzy controller in the different applications still has drawn attention of researchers in various fields. Two approximating-based methods included in this paper are summarized from our previous work. One is that the parameters of Gaussian membership function can be approximately calculated when the range and mean of the input data are given. Another is that a best crisp approximation of fuzzy set can be calculated such that an interval type-2 fuzzy set can be reduced to a type-1 fuzzy set.

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Applications of type-2 fuzzy sets with set approximation approaches: A summary

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