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An Approach to Reduction of the Number of Pair-Wise Alternative Comparisons During Individual and Group Decision-Making

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System Analysis & Intelligent Computing (SAIC 2020)

Abstract

Research on improvement of credibility of expert estimates and reduction of the number of pair-wise comparisons during decision-making support is extremely relevant, due to large time expenditures and high cost of experts’ work. Analysis of results of theoretical research of human psycho-physiological limitations, that influence the credibility of expert estimates, indicates that the order of pair-wise comparisons, performed by experts, does influence the credibility of expert session results. We suggest the respective ways of improving the credibility of expert information during decision-making support. We also suggest a procedure for group expert session organization, which uses Combinatorial method of expert estimate aggregation. Based on information on preliminary ranking of alternatives, the procedure allows us to reduce the number of expert pair-wise comparisons, without compromising the credibility of expert session results. Suggested approaches provide the opportunity to improve existing decision-making support methods, and improve the algorithmic principles of pair-wise comparison-based decision support software development.

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Correspondence to Vitaliy Tsyganok .

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Tsyganok, V., Andriichuk, O., Kadenko, S., Porplenko, Y., Vlasenko, O. (2022). An Approach to Reduction of the Number of Pair-Wise Alternative Comparisons During Individual and Group Decision-Making. In: Zgurovsky, M., Pankratova, N. (eds) System Analysis & Intelligent Computing. SAIC 2020. Studies in Computational Intelligence, vol 1022. Springer, Cham. https://doi.org/10.1007/978-3-030-94910-5_9

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