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Article . 2005
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Article . 2020
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Incidence Calculus on Łukasiewicz's Three-valued Logic

Incidence calculus on Łukasiewicz's three-valued logic
Authors: Qi, G.; Milligan, P.; Sage, P.;

Incidence Calculus on Łukasiewicz's Three-valued Logic

Abstract

Incidence calculus is a probabilistic logic which possesses both numerical and symbolic approaches. However, Liu in [5] pointed out that the original incidence calculus had some drawbacks and she established a generalized incidence calculus theory (GICT) based on Łukasiewicz's three-valued logic to improve it. In a GICT, an incidence function is defined to relate each proposition ϕ in the axioms of the theory to a set of possible worlds in which ϕ has truth value true. But the incidence function only represents those absolute true states of propositions, so it can not deal with the uncertain states. In this paper, we use two incidence functions i _* and i ^* to relate the axioms to the sets of possible worlds. For an axiom ϕ, i _* (ϕ) is to be thought of as the set of possible worlds in which ϕ has truth value true, while i ^* (ϕ) is the set of possible worlds in which ϕ is true or undeterminable. Since i ^* can represent the undeterminable state, our newly defined theory is more efficient to handle vague information than GICT.

Country
Germany
Related Organizations
Keywords

info:eu-repo/classification/ddc/330, incidence calculus, 330, ddc:330, Economics, Many-valued logic, basic incidence assignment, probabilistic logic, Probability and inductive logic, Reasoning under uncertainty in the context of artificial intelligence

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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!
0
Average
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