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Belief Functions and Probability for General Spaces

Authors: Tsau Young Lin;

Belief Functions and Probability for General Spaces

Abstract

This paper has two major contributions: 1) Shafer’s belief functions are extended from finite sets to general universes (sets). 2) Belief function theory on a universe with countable focal elements is interpreted as a probability theory on the product space $\Omega$ x [0; 1] A counter intuitive point of a belief function is its ignoring the impact of the intersections among focal elements. One obvious intuitive rational is: The basic probability assignment (bpa) is a measurement of some disjoint ”information” on focal elements. Item #2 show that this disjoint ”information” is a partition (equivalence relation) on the product space. Here are interesting corollary and new exploration: 3) Belief function is an inner probability, if all focal elements are disjoint. 4) Issues for Bel of uncountable focal elements are lightly touched.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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