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

页码：265 / 290

页数：26

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