Entropy of discrete fuzzy measures

被引:25
作者
Marichal, JL [1 ]
Roubens, M [1 ]
机构
[1] Univ Liege, Inst Math, B-4000 Liege, Belgium
关键词
entropy; fuzzy measure; aggregation; uncertain variable; Choquet and Sugeno integrals; ordinal fuzzy measure;
D O I
10.1142/S0218488500000460
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of entropy of a discrete fuzzy measure has been recently introduced in two different ways. A first definition was proposed by Marichal in the aggregation framework, and a second one by Yager in the framework of uncertain variables. We present a comparative study between these two proposals and point out their properties. We also propose a definition for the entropy of an ordinal fuzzy measure, that is, a fuzzy measure taking its values in an ordinal scale in the sense of measurement theory.
引用
收藏
页码:625 / 640
页数:16
相关论文
共 27 条
[21]  
Sugeno M., 1977, FUZZY AUTOMATA DECIS, P89
[22]  
Yager RR, 1999, INT J INTELL SYST, V14, P1239, DOI 10.1002/(SICI)1098-111X(199912)14:12<1239::AID-INT5>3.0.CO
[23]  
2-G
[24]   ENTROPY AND SPECIFICITY IN A MATHEMATICAL-THEORY OF EVIDENCE [J].
YAGER, RR .
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1983, 9 (04) :249-260
[25]   ON ORDERED WEIGHTED AVERAGING AGGREGATION OPERATORS IN MULTICRITERIA DECISION-MAKING [J].
YAGER, RR .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1988, 18 (01) :183-190
[26]  
YAGER RR, 1994, MII1410 ION COLL
[27]  
YAGER RR, 1999, MII1917R ION COLL