STOCHASTIC MULTI-ATTRIBUTE UTILITY MODEL

In real situations, the attribute value (mostly variable)can be best represented by introducing the finite numberof attribute values level, to which the correspondingprobabilities should also be attached. Stochastic Multi-Attribute Utility Model has the ability to analyze suchstochastic multi-attribute problems. The choice of one,from the set of available options, is made by choosingthe best option based on the maximum expected utilitystructure. In this paper, we will mention some argumentsfor the development of the Stochastic Multi-AttributeUtility Model, its advantages (they are closer to reality),disadvantages (analytically difficult technique, subjectiveassessments of the values of variable attributes), aswell as the process of solving the problem