Fuzzy measure and probability distributions: Distorted probabilities

被引：35

作者：

Narukawa, Y ^{[1
]}

Torra, V

机构：

[1] Toho Gakuen, Tokyo 1860004, Japan

[2] CSIC, Inst Invest Intel Ligencia Artificial, Bellaterra 08193, Catalonia, Spain

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2005年 / 13卷 / 05期

关键词：

Choquet integral; distorted probabilities; fuzzy measures; model determination;

D O I：

10.1109/TFUZZ.2005.856563

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work studies fuzzy measures and their application to data modeling. We focus on the particular case when fuzzy measures are distorted probabilities. We analyze their properties and introduce a new family of measures (m-dimensional distorted probabilities). The work finishes with the application of two dimensional distorted probabilities to a modeling problem. Results of the application of such fuzzy measure to data modeling using Choquet integral are discussed.

引用

页码：617 / 629

页数：13

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