0456860 20240103211936.320160316235959.9 7 s. P cav_un_epca*04568592414-649811 (2016)26-32 stochastic optimization Gini index newsvendor problem information loss cav_un_auth*0101227 Volf Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics 100 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/SI/volf-0456860.pdf GA13-14445S GA ČR cav_un_auth*0292652 Traditional decision theory dealing with uncertainty is usually considering criteria based on expected values, or, variantly, on selected quantiles of objective function. Both, however, take into account just rather small part of available information, in particular not counting with possible variability of involved random variables. That is why the criteria based simultaneously on a set of reasonable characteristics should be preferred. This leads to a multiobjective problem and solution based on an appropriate utility function. In the present paper we propose quantitative characteristics measuring information loss caused by reduction of information used in decision. Such measures can help us to find a trade-off between the decision problem complexity and its reasonable simplified re-formulation. This concept is illustrated on examples. 2017 BB 1 RVO:67985556 http://hdl.handle.net/11104/0258404 S 2016 cav_un_epca*0456859 Academic Journal of Management Science Research 2414-6498 Roč. 1 č. 1 2016 26 32