DECISION MAKING SUPPORT UNDER CONDITIONS OF INCOMPLETE CONSISTENCY OF EXPERT ADVANTAGES

To expand the prospects of intellectualization of design and management procedures for complex
objects, a decision of an urgent scientific and applied problem of increasing the efficiency of
multicriteria decision support technologies is proposed. A combined method for evaluating variants
under conditions of incomplete consistency of expert advantages is proposed. To assess the
importance of partial criteria it was proposed to use methods of reducing variance and penalizing
inconsistency, allowing to increase the accuracy of assessments of weight coefficients of partial
criteria. With low accuracy in determining the weighting coefficients to assess the effectiveness of
decisions it is proposed to use a universal common utility function, which by changing one of the
parameters allows to implement strategies for finding both the most effective and the most
sustainable decisions. Practical use of the proposed method will allow to obtain more effective
decisions to multi-criteria optimization problems by increasing the accuracy of assessment of
weight coefficients of partial criteria. The direction of further research may be the development
of effective decision support methods for fuzzy or interval characteristics of variants.