On information-preserving transformations

被引：5
|
作者：
Harmanec, D [1 ]
Klir, GJ [1 ]
机构：
[1] SUNY BINGHAMTON, THOMAS J WATSON SCH ENGN & APPL SCI, DEPT SYST SCI & IND ENGN, BINGHAMTON, NY 13902 USA
来源：
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 1997年 / 26卷 / 03期
关键词：
principle of uncertainty invariance; Dempster-Shafer theory; probability theory; possibility theory; uncertainty measures;
D O I：
10.1080/03081079708945182
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we investigate uncertainty-invariant transformations between the Dempster-Shafer theory, possibility theory and probability theory. These transformations are based on a well-justified measure of uncertainty in the Dempster-Shafer theory. The measure is defined as the maximum of the Shannon entropy for all probability distributions that conform to the given belief function.
引用
收藏
页码：265 / 290
页数：26
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