0537685 20250310141730.820210117235959.9 85099726939 000732229600001 10.1109/TSMC.2020.3047992 11 s. P cav_un_epca*04308062168-2216524 (2022)2110-2120Institute of Electrical and Electronics Engineers dynamic decsion making uncertainty relative entropy approximation merging extension cav_un_auth*0101124 Kárný Miroslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS 100 A Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2021/AS/karny-0537685.pdf https://ieeexplore.ieee.org/document/9324930 LTC18075 GA MŠk CZ cav_un_auth*0372050 Approximation, extension and merging of probability distributions support inductive reasoning. They serve to modelling, knowledge and preference elicitation as well as to a soft cooperation within various decision-making (DM) scenarios. The theory dubbed as fully probabilistic design of DM strategies unifies the design of these operations on distributions. The unification decreases a danger of their improper choice and use. Still there is an uncertainty how the gained tools should be wielded. The paper diminishes it by spelling out conditions ruling their exploitation. The paper serves as an updated description of these tools, provides examples of their use and guides their tailoring to diverse scenarios. WOS BD 20000 20200 20205 2023 1 2 R hod 4 4rh 4 20250310141717.8 4 20250310141730.8 RVO:67985556 http://hdl.handle.net/11104/0316068 S 3+4 Article Automation Control Systems|Computer Science Cybernetics C AUTOMATION&CONTROLSYSTEMS|COMPUTERSCIENCE.CYBERNETICS 9.5 2.8 2.8 0.04463 2.291 28023 3.688 7.700 566 Q1 90.6 Q1 Q1* 2.17 Q1 91.5 2022 Soubory v repozitáři: karny-537685.pdf 85099726939 SCOPUS PUBMED 000732229600001 WOS cav_un_epca*0430806 IEEE Transactions on Systems Man Cybernetics-Systems 2168-2216 2168-2232 Roč. 52 č. 4 2022 2110 2120 Institute of Electrical and Electronics Engineers