Publication details

Conference Paper (international conference)

Measuring Quality of Belief Function Approximations

: Integrated Uncertainty in Knowledge Modelling and Decision Making, p. 3-15 , Eds: Honda Katsuhiro, Entani Tomoe, Ubukata Seiki, Huynh Van-Nam, Inuiguchi Masahiro

: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making 2022 /9./, (Ishikawa, JP, 20220318)

: GA19-06569S, GA ČR

: Belief functions, Divergence, Approximation, Compositional models

: 10.1007/978-3-030-98018-4_1

: http://library.utia.cas.cz/separaty/2022/MTR/jirousek-0555172.pdf

(eng): Because of the high computational complexity of the respective procedures, the application of belief-function theory to problems of practice is possible only when the considered belief functions are approximated in an efficient way. Not all measures of similarity/dissimilarity are felicitous to measure the quality of such approximations. The paper presents results from a pilot study that tries to detect the divergences suitable for this purpose.

: BA

: 10101