Generated universal fuzzy measures

被引：0
|
作者：
Mesiar, Radko
Mesiarova, Andrea
Valaskova, L'ubica
机构：
[1] Slovak Univ Technol Bratislava, Bratislava 81368, Slovakia
[2] Slovak Acad Sci, Inst Math, Bratislava 81473, Slovakia
[3] Univ Ostrava, Inst Res & Applicat Fuzzy Modelling, Ostrava, Czech Republic
来源：
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE | 2006年 / 3885卷
关键词：
aggregation operator; Choquet integral; fuzzy measure; generator; universal fuzzy measure;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The concepts of generated universal fuzzy measures and of basic generated universal fuzzy measures are introduced. Special classes and properties of generated universal fuzzy measures are discussed, especially the additive, the symmetric and the maxitive case. Additive (symmetric) basic universal fuzzy measures are shown to correspond to the Yager quantifier-based approach to additive (symmetric) fuzzy measures. The corresponding Choquet integral-based aggregation operators are then generated weighted means (generated OWA operators).
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页码：191 / 202
页数：12
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