Titlebook: Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems; Inversion, Displacem Irik Z. Mukhametzyanov Book 2023 T

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,Normalization for the Case “Nominal Value the Best”,he indicators of all criteria—benefit, cost, and target criteria—should be consistent with each other in order to exclude the priority of the normalized values of individual criteria during their further aggregation. If the Sum method is used to normalize the benefit attributes, then the inverse .Su

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Comparative Results of Ranking of Alternatives Using Different Normalization Methods: Computationalt. Calculations and analysis were performed for two problems of multi-criteria choice. The first problem has a weak sensitivity to the normalization method, and the second one has a strong sensitivity. Both problems (decision matrices) are described in Chap. .. 238 different rank models are built, c

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Significant Difference of the Performance Indicator of Alternatives,, the estimates are sensitive to the initial data, to the choice of normalization methods and other model parameters. Indicators for comparing ratings are proposed, and numerical algorithms for estimating the magnitude of the relative error are proposed, which determine a significant difference in r

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