0600835 20241115110217.220241113235959.9 10 s. E cav_un_epca*0600833978-80-905688-0-842-51PrahaÚTIA AV ČR2024 belief function entropy comparison 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. https://library.utia.cas.cz/separaty/2024/MTR/jirousek-0600835.pdf https://cjs.utia.cas.cz/2024/proceedings.pdf#section.0.6 GA19-06569S GA ČR CZ cav_un_auth*0380559 This is a short paper to remind us that although Prof. George Klir passed away eight years ago, his ideas are still alive. He was one of the first to have the idea to extend information theory beyond probability theory and to see the potential of fuzzy sets and belief functions. Some of the problems he raised have not yet been satisfactorily solved. In this paper, we take a fresh look at the problem of what properties entropy should have if it is to be considered a measure of information. Based on these requirements, we consider 24 definitions of entropy for belief functions and study how well they satisfy the proposed conditions. cav_un_auth*0476414 Czech-Japan Seminar on Data Analysis and Decision Making 2024 /24./ 20240909 20240912 Telč CZ BB 10000 10100 10102 2025 2 PR RVO:67985556 https://hdl.handle.net/11104/0358253 S 2024 C SCOPUS PUBMED WOS pdf cav_un_epca*0600833 Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making ÚTIA AV ČR 2024 Praha 42 51 978-80-905688-0-8