Kolesnik L. The decision making models identification with a lot of criterias in condition of the interval uncertainty of the preferences

The thesis is dedicated to identifications of the models of the decision making with a lot of criteria under interval uncertainty of the preferences of decision makers. In work has got the most further development methods how get and propose initial data concerning private criteria of preferences. In the current thesis methods of identifications of the interval group preferences on base ensemble individual point and interval estimation are considered too. The mathematical models decision making are modified in condition of the interval uncertainty. The model for ranking of alternatives directly to interval information was designed for the first times. The method of the estimation of accuracy of models and accuracy of the considered models were proposed for the first times.