Conditional belief functions versus proper belief functions

被引：0

作者：

Klopotek, MA ^{[1
]}

Wierzchon, ST ^{[1
]}

机构：

[1] Polish Acad Sci, Inst Comp Sci, Warsaw, Poland

来源：

NEURAL NETWORKS AND SOFT COMPUTING | 2003年

关键词：

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：

Dempster-Shafer conditional belief functions are generally not usable because composition of conditional belief functions is not granted to yield joint multivariate belief distribution, as some values of the belief distribution may be negative [1,3]. The paper proposes a framework, within which a sufficient condition for non-negativity of the graphoidally represented belief function is defined.

引用

页码：614 / 619

页数：6

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