Derived Fuzzy Measures and Derived Choquet Integrals With Some Properties

被引:9
|
作者
Jin, Lesheng [1 ]
Mesiar, Radko [2 ,3 ]
Yager, Ronald R. [4 ]
机构
[1] Nanjing Normal Univ, Business Sch, Nanjing 210023, Peoples R China
[2] Slovak Univ Technol Bratislava, Fac Civil Engn, Bratislava 81107, Slovakia
[3] Palacky Univ Olomouc, Dept Algebra & Geometry, Fac Sci, Olomouc 77146, Czech Republic
[4] Iona Coll, Machine Intelligence Inst, New Rochelle, NY 10801 USA
关键词
Decision making; Tools; Open wireless architecture; Integral equations; Current measurement; Boundary conditions; Weight measurement; Aggregation function; Choquet integral; derived Choquet integral; derived fuzzy measure; fuzzy measure; information fusion; Sugeno integral;
D O I
10.1109/TFUZZ.2020.2969869
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The well-known Choquet integrals are based on given fuzzy measures, providing some sound schemes for the evaluation problems in multicriteria decision making. To further generalize and diversify these interesting aggregation functions, this article proposes the concept of derived fuzzy measures, which can serve as a generalization of normally used fuzzy measures. Based on derived fuzzy measures, we present the detailed integral methods to define the corresponding derived Choquet integrals. With some specific derived fuzzy measures, we find that both Choquet and Sugeno integrals are special cases of derived Choquet integrals. In addition, some relevant properties and propositions with practical explanations are also discussed, for example, the less/more increment properties and amplifying/attenuating properties.
引用
收藏
页码:1320 / 1324
页数:5
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