Order Relation for Type-2 Fuzzy Values

作     者：Seungsoo Lee Kwang H. Lee Doheon Lee 

作者机构：Department of Electrical Engineering and Computer Science KAISTDepartment of Electrical Engineering and Computer Science KAISTDepartment of BioSystems KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Republic of Korea373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Republic of KoreaDepartment of BioSystems KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Republic of Korea373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Republic of Korea 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2003年第8卷第1期

页      面：30-36页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the Korea Science and EngineeringFoundation ( KOSEF) Through the AdvancedInformation Technology Research Center( AITrc) 

主　　题：type-2 fuzzy set fuzzy comparison fuzzy ranking fuzzy order relation 

摘      要：In this paper an order relation and a ranking method for type-2 fuzzy values are proposed. In order to compare type-2 fuzzy sets, the concepts of satisfaction function for continuous fuzzy values, h-level type-2 fuzzy values and strong order relation are introduced. The proposed method is an approach based on the possibility theory, and it generates a ranking sequence with the greatest possibility. Some properties of the proposed method are also analyzed.