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Why We Need Desirable Properties in Pairwise Comparison Methods?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F24%3AA0000446" target="_blank" >RIV/47813059:19520/24:A0000446 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1002/mcda.70002" target="_blank" >http://dx.doi.org/10.1002/mcda.70002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/mcda.70002" target="_blank" >10.1002/mcda.70002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Why We Need Desirable Properties in Pairwise Comparison Methods?

  • Original language description

    Pairwise comparison matrices (PCMs) are inevitable tools in some important multiple-criteria decision-making methods, for example AHP/ANP, TOPSIS, PROMETHEE and others. In this paper, we investigate some important properties of PCMs which influence the generated priority vectors for the final ranking of the given alternatives. The main subproblem of the Analytic Hierarchy Process (AHP) is to calculate the priority vectors, that is, the weights assigned to the elements of the hierarchy (criteria, sub-criteria, and/or alternatives or variants), by using the information provided in the form of a pairwise comparison matrix. Given a set of elements, and a corresponding pairwise comparison matrix, whose entries evaluate the relative importance of the elements with respect to a given criterion, the final ranking of the given alternatives is evaluated. We investigate some important and natural properties of PCMs called the desirable properties, particularly, the non-dominance, consistency, intensity and coherence, which influence the generated priority vectors. Usually, the priority vector is calculated based on some well-known method, for example, the Eigenvector Method, the Arithmetic Mean Method, the Geometric Mean Method, the Least Square Method, and so forth. The novelty of our approach is that the priority vector is calculated as the solution of an optimization problem where an error objective function is minimised with respect to constraints given by the desirable properties. The properties of the optimal solution are discussed and some illustrating examples are presented. The corresponding software tool has been developed and demonstrated in some examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA21-03085S" target="_blank" >GA21-03085S: Supporting Decision Processes with Pairwise Comparisons and Data Mining</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS

  • ISSN

    1057-9214

  • e-ISSN

    1099-1360

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    5-6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85211237442