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标题：Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions
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作者：Andr�ia Alves dos Santos Schwaab ; Silvia Modesto Nassar ; Paulo Jos� de Freitas Filho 等
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2015
卷号：11
期号：9
页码：976-987
DOI：10.3844/jcssp.2015.976.987
出版社：Science Publications
摘要：Generation of membershipfunctions is an important step in construction of fuzzy systems. Sincemembership functions reflect what is known about the variables involved in aproblem, when they are correctly modeled the system will behave in the mannerthat is expected in the context of the problem being addressed. Since theircreation, type-1 membership functions have been used in domains characterizedby uncertainty. Nevertheless, use of type-2 membership functions has beenexpanding over recent years because they are considered more appropriate forthis application. Both types of membership function can be generated with theaid of automatic methods that implement generation of membership functions fromdata. These methods are convenient for situations in which it is not possibleto obtain all the information needed from an expert or when the problem inquestion is complex. The aim of this study is to present a review of the mostimportant automatic methods for generation of membership functions, both type 1and interval type-2, highlighting the principal characteristics of eachapproach.
关键词：Type-1 Membership Function; Interval Type-2 Membership Function; Automatic Methods