A multicriterion performance estimate for information systems under uncertainty

The problem of multicriterion estimation of information system performance measures is examined. An estimator is offered in the form of a two-level statistical decision model under uncertainty conditions. A classification of decision-maker's a priori awareness about the environment states is presented. New criteria for selecting the best information system variant are described.