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The Quantitative Importance of Criteria with Discrete First-Order Metric Scale

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Abstract

Theoretical principles underlying the description of preferences in discrete multicriteria models for decision making from quantitative estimates for the relative importance of criteria and information indicating that increment of preferences decreases with the increasing gradations of their common scale are described.

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  1. State University, Higher School of Economics, Moscow, Russia

    V. V. Podinovskii

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  1. V. V. Podinovskii
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Podinovskii, V.V. The Quantitative Importance of Criteria with Discrete First-Order Metric Scale. Automation and Remote Control 65, 1348–1354 (2004). https://doi.org/10.1023/B:AURC.0000038735.71311.36

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  • DOI: https://doi.org/10.1023/B:AURC.0000038735.71311.36

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