0523947 20240103224006.220200424235959.9 000497900500001 85075433795 10.1080/03081079.2019.1692006 16 s. cav_un_epca*02567940308-1079491 (2020)48-63Taylor & Francis Expectation belief function probabilistic transform commonality function utility ambiguity Choquet integral cav_un_auth*0101118 Department of Decision Making Theory 34 Jiroušek Radim UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216188 Department of Decision Making Theory 33 Kratochvíl Václav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274184 33 Rauh J. DE http://library.utia.cas.cz/separaty/2020/MTR/jirousek-0523947.pdf https://www.tandfonline.com/doi/full/10.1080/03081079.2019.1692006 cav_un_auth*0379647 GA19-06569S GA ČR CZ Recently, a new way of computing an expected value in the Dempster-Shafer theory of evidence was introduced by Prakash P. Shenoy. Up to now, when they needed the expected value of a utility function in D-S theory, the authors usually did it indirectly: first, they found a probability measure corresponding to the considered belief function, and then computed the classical probabilistic expectation using this probability measure. To the best of our knowledge, Shenoy's operator of expectation is the first approach that takes into account all the information included in the respective belief function. Its only drawback is its exponential computational complexity. This is why, in this paper, we compare five different approaches defining probabilistic representatives of belief function from the point of view, which of them yields the best approximations of Shenoy's expected values of utility functions. WOS IN 10000 10200 10201 2021 3 RVO:67985556 http://hdl.handle.net/11104/0308327 S 3+4 Article Computer Science Theory Methods|Ergonomics C COMPUTERSCIENCE.THEORY&METHODS 1.676 0.744 13.5 0.00099 0.43 1695 56 0.482 28.19 2.03 240 Q2 1.805 43 Q2 44.296 65.9 Q3 Q3 0.64 Q2 65.909 2020 85075433795 SCOPUS PUBMED 000497900500001 WOS cav_un_epca*0256794 International Journal of General Systems 0308-1079 1563-5104 Roč. 49 č. 1 2020 48 63 Taylor & Francis