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On (anti) conditional independence in Dempster-Shafer theory. (English) Zbl 0946.68133

Summary: This paper verifies a result of P. P. Shenoy [Int. J. Approx. Reasoning 10, No. 3, 203-234 (1994; Zbl 0821.68114)] concerning graphoidal structure of Shenoy’s notion of independence for Dempster-Shafer theory of belief functions. Shenoy proved that his notion of independence has graphoidal properties for positive normal valuations. The requirement of strict positive normal valuations as prerequisite for application of graphoidal properties excludes a wide class of DS belief functions. It excludes especially so-called probabilistic belief functions. It is demonstrated that the requirement of positiveness of valuation may be weakened in that it may be required that commonality function is non-zero for singleton sets instead, and the graphoidal properties for independence of belief function variables are then preserved. This means especially that probabilistic belief functions with all singleton sets as focal points possess graphoidal properties for independence.

MSC:

68T27 Logic in artificial intelligence

Citations:

Zbl 0821.68114
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