Belief-kinematics Jeffrey's rules in the theory of evidence
Chunlai Zhou, Mingyue Wang, Biao Qin · 2014
This paper studies the problem of revising belief-s using uncertain evidence in a framework where beliefs are represented by a belief function. We introduce two new Jeffrey’s rules for the revi-sion based on two forms of belief kinematics, an evidence-theoretic counterpart of probability kinematics. Furthermore, we provide two dis-tance measures for belief functions and show that the two belief kinematics are optimal in the sense that they minimize their corresponding distance measures. 1