| Order Relation for Type-2 Fuzzy Values |
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| 引用本文： | SeungsooLee KwangH.Leet DoheonLee. Order Relation for Type-2 Fuzzy Values[J]. 清华大学学报, 2003, 8(1): 30-36 |
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| 作者姓名： | SeungsooLee KwangH.Leet DoheonLee |
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| 作者单位： | [1]DepartmentofElectricalEngineeringandComputerScience,KAIST,373-1Guseong-dongYuseong-gu,Daejeon305-701,RepublicofKorea [2]DepartmentofBioSystems,KAIST,373-1Guseong-dongYuseong-gu,Daejeon305-701,RepublicofKorea [3]DepartmentofElectricalEngineeringandComputerScience,KAIST,373-1Guseong-dongYuseong-gu,Daejeon305-701,RepublicofKorea／／DepartmentofBioSystems,KAIST,373-1Guseong-dongYuseong-gu,Daejeon305-701,RepublicofKorea |
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| 基金项目： | Supported by the Korea Science and EngineeringFoundation ( KOSEF) Through the AdvancedInformation Technology Research Center( AITrc) |
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| 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.
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| 关 键 词： | type-2模糊集 次序关系 模糊对比 模糊顺序 |
Order Relation for Type-2 Fuzzy Values |
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| Seungsoo Lee,Kwang H.Lee,Doheon Lee. Order Relation for Type-2 Fuzzy Values[J]. Tsinghua Science and Technology, 2003, 8(1): 30-36 |
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| Authors: | Seungsoo Lee Kwang H.Lee Doheon Lee |
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| Abstract: | 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. |
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| Keywords: | type-2 fuzzy set fuzzy comparison fuzzy ranking fuzzy order relation |
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