0411446 20240103182328.220060210235959.9 7 s. 164-170978-80-7041-535-1SkalskáH.Hradec KrálovéGaudeamus2005 technical efficiency stochastic DEA stochastic programming cav_un_auth*0213260 Chovanec Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 12B GD402/03/H057 GA ČR cav_un_auth*0010985 GA402/04/1294 GA ČR cav_un_auth*0001810 GA402/05/0115 GA ČR cav_un_auth*0001811 CEZ:AV0Z10750506 By its nature, Data Envelopment Analysis (DEA) leaves no room for uncertainty in data such as measurement errors. To improve this fact, we consider a-stochastic efficiency concept, and we relate this problem to the stochastic programming problem. Probability inequalities are employed for introducing ew criteria, and two special cases for normal and for general distribution are discussed. The strengths of new criteria are illustrated with a numerical example. Jsou zavedena nová kriteria pro stochastickou výkonnost a jsou vnořena do systému omezení v problémech stochastického programování. Nová kriteria jsou ilustrována v numerickém příkladu. cav_un_auth*0213243 Mathematical Methods in Economics 2005 /23./ Hradec Králové CZ 14.09.2005-16.09.2005 BB 2010 E http://hdl.handle.net/11104/0131527 2005 Proceedings of the 23rd International Conference Mathematical Methods in Economics 2005 978-80-7041-535-1 164 170 Hradec Králové Gaudeamus 2005 Skalská H. 340