A comprehensive comparison between generalized incidence calculus and the Dempster-Shafer theory of evidence
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چکیده
منابع مشابه
A comprehensive comparison between generalized incidence calculus and the Dempster-Shafer theory of evidence
Dealing with uncertainty problems in intelligent systems has attracted a lot of attention in the AI community. Quite a few techniques have been proposed. Among them, the DempsterShafer theory of evidence (DS theory) has been widely appreciated. In DS theory, Dempster’s combination rule plays a major role. However, it has been pointed out that the application domains of the rule are rather limit...
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Dempster–Shafer evidence theory has been widely used in various fields of applications. Besides, it has been proven that the quantum theory has powerful capabilities of solving the decision making problems. However, due to the inconsistency of the expression, the classical Dempster–Shafer evidence theory modelled by real numbers can not be integrated directly with the quantum theory modelled by...
متن کاملOn Some Equivalence Relations between Incidence Calculus and Dempster-Shafer Theory of Evidence
Incidence Calculus and Dempster-Shafer Theory of Evidence are both theories to describe agents' de grees of belief in propositions, thus being appropri ate to represent uncertainty in reasoning systems. This paper presents a straightforward equivalence proof between some special cases of these theories.
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The drawbacks of pure probabilistic methods and of the certainty factor model have led us in recent years to consider alternate approaches. Particularly appealing is the mathematical theory of evidence developed by Arthur Dempster. We are convinced it merits careful study and interpretation in the context of expert systems. This theory was first set forth by Dempster in the 1960s and subsequent...
متن کاملCombination of Evidence in Dempster-Shafer Theory
Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require an assumption regarding the probability of the individual constituents of the set or interval. This...
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ژورنال
عنوان ژورنال: International Journal of Human-Computer Studies
سال: 1994
ISSN: 1071-5819
DOI: 10.1006/ijhc.1994.1046