0547793 20240111141057.420211109235959.9 10.1109/ICTE51655.2021.9584706 6 s. E cav_un_epca*0548405978-1-6654-3895-7PiscatawayIEEE2021 decision making ambiguity belief function subjective characteristics cav_un_auth*0101118 Jiroušek Radim UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216188 Kratochvíl Václav UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory CZ Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2021/MTR/jirousek-0547793.pdf GA19-06569S GA ČR CZ cav_un_auth*0380559 Quite often, the best human decision-makers outperform computer-aided decision systems. It is not only because humans can take into account faint pieces of information that cannot be formalized but also that they occasionally behave intuitively, which can hardly be incorporated into a formal optimization criterion. Therefore, mathematicians enhance their decision models to make their behavior similar to that of human decision-makers. They fit decision models up with different parameters controlling the optimality of the considered decision. From this point of view, the simplest and perhaps the most popular is the Hurwitz coefficient of pessimism controlling whether the decision process tends to expect more the best or the worst outcome. In this paper, we design a model with a parameter controlling the strength of ambiguity aversion of the resulting decision process. cav_un_auth*0416693 International Conference on Technology and Entrepreneurship 2021 20210824 20210827 Kaunas LT BD 10000 10100 10103 2022 2 PR RVO:67985556 http://hdl.handle.net/11104/0324440 1 S 9584706 2021 SCOPUS PUBMED WOS pdf cav_un_epca*0548405 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE) IEEE 2021 Piscataway 978-1-6654-3895-7