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An Algorithm to Compute a Joint Priority Vector of Pairwise Comparison Matrices with Fuzzy Elements in Group Decision Making

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F23%3AA0000364" target="_blank" >RIV/47813059:19520/23:A0000364 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.researchgate.net/publication/372056535_An_Algorithm_to_Compute_a_Joint_Priority_Vector_of_Pairwise_Comparison_Matrices_with_Fuzzy_Elements_in_Group_Decision_Making" target="_blank" >https://www.researchgate.net/publication/372056535_An_Algorithm_to_Compute_a_Joint_Priority_Vector_of_Pairwise_Comparison_Matrices_with_Fuzzy_Elements_in_Group_Decision_Making</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Algorithm to Compute a Joint Priority Vector of Pairwise Comparison Matrices with Fuzzy Elements in Group Decision Making

  • Original language description

    We study the problem how to aggregate different opinions of   m decision makers who evaluate n objects with respect to a criterion into a single opinion of the group. In particular, each of the m decision makers evaluates the n objects pairwise with respect to the given criterion. In order to unify various approaches, we assume that the decision makers use the elements of an Abelian linearly ordered group (alo-group) to assess the relative importance of the two items in each pair of the n objects. Moreover, a decision maker (DM) can use a fuzzy subset of the alo-group to assess the relative importance whenever the DM is uncertain about the exact value of the assessment. Thus, the task is to compute a joint priority vector of  m given n×n reciprocal pairwise comparison matrices with fuzzy elements, i.e. fuzzy subsets of an alo-group. In this paper, we consider several desirable properties of the priority vector – consistency, intensity, and coherence – and we propose a new algorithm to compute priority vectors satisfying these desirable properties.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The 4th International Conference on Decision Making for Small and Medium-Sized Enterprises

  • ISBN

    9788075105547

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    18-25

  • Publisher name

    Silesian University in Opava, School of Business Administration in Karviná

  • Place of publication

    Karviná

  • Event location

    Petrovice u Karviné

  • Event date

    May 18, 2021

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article