Application of Criteria Aggregation Techniques for the Selection of Innovative Products

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Abstract

The peculiarity of innovative products requires taking into account a large number of criteria that should be aggregated into generalized ones and building a convolution tree with qualitative, quantitative and fuzzy rules. The paper proposes a methodology for the optimal partitioning of criteria scales into generalized gradations for using combined methods of multicriteria analysis of alternatives. The transition to fewer criteria leads to a signifi cant increase in the dimension of the scales of generalized criteria. Scales have to be converted to new scales with fewer gradations. To solve the problem of minimizing the information loss occurring when converting the scales picked Bellman function and applied method of dynamic programming. Computational experiments have shown the effectiveness of the proposed approach.

General Information

Keywords: innovative products, the aggregation criteria, the Bellman function, multicriteria analysis of alternatives, scale, ranging, integrated assessment, minimization of information loss

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100105

For citation: Sivakova T.V., Sudakov V.A. Application of Criteria Aggregation Techniques for the Selection of Innovative Products. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2020. Vol. 10, no. 1, pp. 86–95. DOI: 10.17759/mda.2020100105. (In Russ., аbstr. in Engl.)

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Information About the Authors

Tatyana V. Sivakova, Researcher, Keldysh Institute of Applied Mathematics (Russian Academy of Sciences), researcher, Plekhanov Russian University of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8026-2198, e-mail: sivakova15@mail.ru

Vladimir A. Sudakov, Doctor of Engineering, Professor of Department 805, Moscow Aviation Institute (MAI), Leading Researcher, Keldysh Institute of Applied Mathematics (Russian Academy of Sciences), Moscow, Russia, ORCID: https://orcid.org/0000-0002-1658-1941, e-mail: sudakov@ws-dss.com

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