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Mošna, J. and Pešek, P. : Decision process of incompleted stochastic model . Process control 2004, p. 1-7, University of Pardubice, Pardubice, 2004.


This paper deals with optimization of stochastic static decision making problem. The decision making problem is described by incomplete stochastic model. Uncertainty of the description is specified by probability distribution of model parameters. The problem formulation unables to use Bayesian approach. Consequently, the minimax optimization will be study here. Using minimax optimization on set of admissible strategies does not necessarily produce a deterministic optimal strategy. Then optimality criterion value can be evaluable. The minimax using locates upper limit and lower limit of expected value of optimality criterion. Illustrative example which shows discussed ideas and relation between model incompleteness and decision process quality. Conclusion summarizes obtained results and looks to followed problems.

Detail of publication

Title: Decision process of incompleted stochastic model
Author: Mošna, J. ; Pešek, P.
Language: English
Date of publication: 8 Jun 2004
Year: 2004
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Process control 2004
Page: 1 - 7
ISBN: 80-7194-662-1
Publisher: University of Pardubice
Address: Pardubice
Date: 8 Jun 2004 - 11 Jun 2004
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decision making problem, incomplete stochastic model, minimax optimization, linear programming


 author = {Mo\v{s}na, J. and Pe\v{s}ek, P.},
 title = {Decision process of incompleted stochastic model},
 year = {2004},
 publisher = {University of Pardubice},
 journal = {Process control 2004},
 address = {Pardubice},
 pages = {1-7},
 ISBN = {80-7194-662-1},
 url = {},