Inference with Possibilistic Evidence
Fengming Song, Ping Liang

TL;DR
This paper introduces the concept of possibilistic evidence, combining possibility distributions and evidence, and explores an inference framework that maintains concept compatibility and probability logic consistency.
Contribution
It proposes a novel possibilistic evidence concept and a unified inference framework for reasoning over infinite universes of discourse.
Findings
Defines possibilistic evidence as a possibility distribution and evidence body.
Develops a unified inference framework preserving concept compatibility.
Ensures inference maintains probability logic consistency.
Abstract
In this paper, the concept of possibilistic evidence which is a possibility distribution as well as a body of evidence is proposed over an infinite universe of discourse. The inference with possibilistic evidence is investigated based on a unified inference framework maintaining both the compatibility of concepts and the consistency of the probability logic.
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Taxonomy
TopicsSemantic Web and Ontologies · Logic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation
