The MCDM Rank Model

Irik Z. Mukhametzyanov
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Irik Z. Mukhametzyanov: Ufa State Petroleum Technological University

Chapter Chapter 2 in Normalization of Multidimensional Data for Multi-Criteria Decision Making Problems, 2023, pp 15-40 from Springer

Abstract: Abstract A class of MCDM models is considered, in which the ranking of alternatives is performed based on the performance indicators of alternatives obtained by aggregating normalized attribute values. Aggregation of normalized attribute values transforms the original multi-criteria decision-making problem with different-sized and differently directed criteria to a one-dimensional problem of ranking alternatives in descending or ascending integrated performance indicator. The formal structure of the MCDM rank model is given and an overview of the most popular methods for determining the weight coefficients of criteria, methods for aggregating private attributes within the framework of the MCDM rank model is presented. Given the multi-variance of methods and the absence of formalized criteria for their choice, the consistency of the solution for various MCDM models increases the reliability of the solution.

Keywords: MCDM rank model; Target value of attributes; Attribute weighting; Attribute aggregation techniques (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-33837-3_2

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