Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2002.05a
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- Pages.145-148
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- 2002
A Ranking Method for Type-2 Fuzzy Values
타입-2 퍼지값의 순위결정
- Lee, Seungsoo (Department of EECS, KAIST) ;
- Lee, Kwang H. (Department of EECS, KAIST)
- Published : 2002.05.01
Abstract
Type-1 fuzzy value is used to show the uncertainty in a given value. But there exist many situations that it needs to be extended to type-2 fuzzy value because it is difficult to determine the crisp membership function itself. Intrinsically type-2 fuzzy values are more expressive and powerful than type-1 fuzzy values, but, at the same time, more difficult to be compared or ranked . In this paper, a ranking method for type-2 fuzzy values is proposed. It is based on the satisfaction function which shows the possibility that one type-2 fuzzy value is greater than the other type-2 fuzzy value Some properties of the proposed method are also analyzed .