Description logic programs under probabilistic uncertainty and fuzzy vagueness
نویسندگان
چکیده
منابع مشابه
Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness
This paper is directed towards an infrastructure for handling both uncertainty and vagueness in the Rules, Logic, and Proof layers of the Semantic Web. More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified nonmonotonic negation), and probabilistic uncertainty in a uniform framework for the Semant...
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Towards sophisticated representation and reasoning techniques that allow for probabilistic uncertainty in the Rules, Logic, and Proof layers of the Semantic Web, we present probabilistic description logic programs (or pdl-programs), which are a combination of description logic programs (or dl-programs) under the answer set semantics and the well-founded semantics with Poole’s independent choice...
متن کاملFuzzy Description Logic Programs
Description Logic Programs (DLPs), which combine the expressive power of classical description logics and logic programs, are emerging as an important ontology description language paradigm. In this study, we present fuzzy DLPs, which extend DLPs by allowing the representation of vague/imprecise information.
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Probabilistic logic combines the capability of binary logic to express the structure of argument models with the capacity of probabilities to express degrees of truth of those arguments. The limitation of traditional probabilistic logic is that it is unable to express uncertainty about the probability values themselves. This paper provides a brief overview subjective logic which is a probabilis...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2009
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2009.03.004