On the Maximum Entropy Negation of a Probability Distribution

被引：72

作者：

Yager, Ronald R. ^{[1
]}

机构：

[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10805 USA

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2015年 / 23卷 / 05期

关键词：

Aggregation; decision-making; membership grade; nonstandard fuzzy set;

D O I：

10.1109/TFUZZ.2014.2374211

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We suggest a transformation to obtain the negation of a probability distribution. We investigate the properties of this negation. Using the Dempster-Shafer theory of evidence, we show of all the possible negations our proposed negation is one having a maximal type entropy.

引用

页码：1899 / 1902

页数：4

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