Belief-Kinematics Jeffrey-s Rules in the Theory of Evidence
نویسندگان
چکیده
This paper studies the problem of revising beliefs using uncertain evidence in a framework where beliefs are represented by a belief function. We introduce two new Jeffrey’s rules for the revision based on two forms of belief kinematics, an evidence-theoretic counterpart of probability kinematics. Furthermore, we provide two distance measures for belief functions and show that the two belief kinematics are optimal in the sense that they minimize their corresponding distance measures.
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