0546853 20231122150020.220211019235959.9 85116454250 000711926000023 10.1007/978-3-030-86772-0_23 14 s. P cav_un_epca*0546852978-3-030-86771-30302-9743314-327ChamSpringer2021VejnarováJ.WilsonN. Belief function Conflict Hidden conflict N-consistency Shades of conflict Auto-conflict cav_un_auth*0100740 Daniel Milan UIVT-O Oddělení složitých systémů Department of Complex Systems Ústav informatiky 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 K Ústav teorie informace a automatizace AV ČR, v. v. i. http://dx.doi.org/10.1007/978-3-030-86772-0_23 GA19-04579S GA ČR CZ cav_un_auth*0380558 Conflict, dissonance, inconsistency, entropy. There are many notions related to one phenomenon. When working with uncertainty, there can be different sources of information, and often they are in some level of mutual disagreement. When working with belief functions, one of the approaches how to measure conflict is closely connected with a belief mass assigned by the non-normalized conjunctive rule to the empty set. Recently, we have observed and presented cases where a conflict of belief functions is hidden (there is a zero mass assigned to the empty set by the non-normalized conjunctive rule). Above that, we distinguish several degrees of such a hiddeness. In parallel, Pichon et al. introduced a new family of conflict measures of different strengths, the so-called shades of conflict. In this paper, we compare both approaches not only from the theoretical point of view but also by examples. cav_un_auth*0415638 ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty /16./ 20210921 20210924 Prague CZ IN 10000 10200 10201 2022 2 UTIA-B 10000 10100 10101 4 A 4a 20231122150020.2 RVO:67985807 RVO:67985556 http://hdl.handle.net/11104/0323231 cav_un_auth*0339298 UTIA S 3+4 Proceedings Paper Computer Science Artificial Intelligence|Computer Science Software Engineering|Mathematics Applied|Logic 499 0.427 21.58 1.08 84158 Q2 2021 Soubory v repozitáři: 0546853-afin.pdf 85116454250 SCOPUS PUBMED 000711926000023 WOS cav_un_epca*0546852 Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 16th European Conference, ECSQARU 2021 Proceedings Springer 2021 Cham 314 327 978-3-030-86771-3 Lecture Notes in Computer Science 12897 0302-9743 Vejnarová J. 340 Wilson N. 340