Abstract
The paper describes a decision support system for solving multicriteria problems during the analysis of complex systems, in the case where a finite set of alternatives whose characteristics are given in tabular form is considered. It is based on the analysis of the phasing of such studies whose results determine the requirements for the types of problems to be solved with its use and the list of methods that are expedient to implement. The considered decision support system is designed to solve problems under certainty, as well as stochastic and non-stochastic uncertainty. In accordance with the main stages of the analysis of complex systems, it implements a number of multicriteria methods that allow assessment of relationships between the factors associated with its operation, determine the importance of the indicators that characterize it, generate a priority series of the considered alternatives, or form the kernel of alternatives that are promising for further research.
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Translated from Kibernetika i Sistemnyi Analiz, No. 2, March–April, 2020, pp. 141–148.
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Potomkin, M.M., Dublian, O.V. & Khomchak, R.B. Decision Support System for Solving Multicriteria Problems in the Analysis of Complex Systems. Cybern Syst Anal 56, 289–295 (2020). https://doi.org/10.1007/s10559-020-00244-7
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DOI: https://doi.org/10.1007/s10559-020-00244-7