0410495 20240103182218.120060210235959.9 80-88715-93-8 Bratislava University of Economics 2000 7 s. 123-129 cav_un_auth*0101196 Sladký Karel UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021051 Sitař M. CZ 12B GA402/99/1136 GA ČR cav_un_auth*0009183 GA402/98/0742 GA ČR cav_un_auth*0009149 AV0Z1075907 We investigate how the mean variance selection rules can work in the Markovian decision models. We adapt notions and notations used in Markovian decision processes and in contrast to the classical models we assume that instead of the long run average expected return we consider more sophisticated optimality criteria taking into account also the variance of the total (long run) reward. Attention is focused on finding suboptimal and Pareto optimal solutions to the variance penalized Markov decision chains. cav_un_auth*0212724 Quantitative Methods in Economics Stará Lesná SK 30.11.2000-02.12.2000 BB E http://hdl.handle.net/11104/0130584 UTIA-B 20000211 2000 2000 Bratislava University of Economics 80-88715-93-8 Proceedings of the International Conference on Quantatative Methods in Economics. (Multiple Criteria Decision Making X) 123 129