Conditional independence relations in possibility theory

被引:16
|
作者
Vejnarová, J [1 ]
机构
[1] Univ Econ, Lab Intelligent Syst, Prague, Czech Republic
[2] Acad Sci Czech Republ, Inst Informat Theory & Automat, Prague, Czech Republic
关键词
possibility measure; possibility distribution; conditioning rule; conditional possibility distribution; possibilistic conditional independence; formal properties of conditional independence;
D O I
10.1016/S0218-4885(00)00018-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The goal of this paper is to survey and briefly discuss various rules of conditioning proposed in the framework of possibility theory, as well as various conditional independence relations suggested for these rules. These conditioning rules and conditional independence relations are confronted with formal properties of conditional independence. Special attention is paid to the conditioning in the sense of a measure-theoretic approach (based on the notion of a t-norm) recently introduced by de Cooman. It is shown that this approach to conditioning and the related conditional independence notion generalizes and unifies some of the previously suggested rules and conditional independence relations. The properties of the proposed conditional independence relation completely correspond to those possessed by stochastic conditional independence.
引用
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页码:253 / 269
页数:17
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