0507222 20240103222349.820190803235959.9 84988601027 000389706900001 10.1007/978-3-319-45559-4_1 11 s. P cav_un_epca*0507221978-3-319-45558-70302-97433-13ChamSpringer2016VejnarováJiřinaKratochvílVáclav Dempster-Shafer theory Entropy Probability consistency Ignorance cav_un_auth*0101118 50 Jiroušek Radim UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory S Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0275452 Shenoy P. P. US http://library.utia.cas.cz/separaty/2019/MTR/jirousek-0507222.pdf cav_un_auth*0353269 GA15-00215S GA ČR CZ The paper proposes a new definition of entropy of basic probability assignments (BPA) in the Dempster-Shafer (D-S) theory of belief func­tions, which is interpreted as a measure of total uncertainty in the BPA. A list of five desired properties of entropy for D-S belief func­tions theory is stated that are motivated by Shannon's definition of entropy of probability functions, together with the implicit requirement that any definition should be consistent with the semantics of D-S belief functions theory. cav_un_auth*0334433 International Conference on Belief Functions 2016 /4./ 21.09.2016-23.09.2016 Prague CZ IN 10000 10200 10201 2020 2 PR RVO:67985556 http://hdl.handle.net/11104/0298564 S n.a. Proceedings Paper Computer Science Artificial Intelligence 2016 84988601027 SCOPUS PUBMED 000389706900001 WOS cav_un_epca*0507221 Belief Functions: Theory and Applications Springer 2016 Cham 3 13 978-3-319-45558-7 Lecture Notes in Artificial Intelligence LNAI 9861 0302-9743 340 Vejnarová Jiřina 340 Kratochvíl Václav