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Addressing multi-attribute large-scale group decision making with overlapping subgroups: A bidirectional adjustment consensus reaching method for heterogeneous decision makers

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021527" target="_blank" >RIV/62690094:18450/24:50021527 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0360835224003814?pes=vor" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360835224003814?pes=vor</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cie.2024.110260" target="_blank" >10.1016/j.cie.2024.110260</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Addressing multi-attribute large-scale group decision making with overlapping subgroups: A bidirectional adjustment consensus reaching method for heterogeneous decision makers

  • Popis výsledku v původním jazyce

    Due to the rapid development of internet technology, multi-attribute large-scale group decision making (MALSGDM) becomes a research hotspot of multi-attribute group decision making. An interesting phenomenon is that decision makers (DMs) may assume multiple roles across various interest groups, thereby naturally forming overlapping subgroups. Aiming at the MALSGDM problem with overlapping subgroups, this paper proposes an overlapping subgroup-based consensus reaching method considering heterogeneous DMs. Firstly, a novel overlapping clustering method is proposed to decompose the large-scale group into several overlapping subgroups characterized by low evaluation conflict and stable trust relationship, thereby identify ordinary and key DMs. Secondly, a two-criteria consensus reaching judgment method is devised as the termination condition for the consensus reaching process. Thirdly, a novel bidirectional adjustment method considering heterogeneous DMs is constructed, which focuses on key DMs belonging to multiple subgroups simultaneously. The adjusted evaluation values are obtained through linear uncertain minimum adjustment consensus models under two different cases. Finally, a numerical example is provided to demonstrate the feasibility of the proposed method, and the comparative and sensitivity analyses are carried out to verify the superiority of the proposed method. © 2024 Elsevier Ltd

  • Název v anglickém jazyce

    Addressing multi-attribute large-scale group decision making with overlapping subgroups: A bidirectional adjustment consensus reaching method for heterogeneous decision makers

  • Popis výsledku anglicky

    Due to the rapid development of internet technology, multi-attribute large-scale group decision making (MALSGDM) becomes a research hotspot of multi-attribute group decision making. An interesting phenomenon is that decision makers (DMs) may assume multiple roles across various interest groups, thereby naturally forming overlapping subgroups. Aiming at the MALSGDM problem with overlapping subgroups, this paper proposes an overlapping subgroup-based consensus reaching method considering heterogeneous DMs. Firstly, a novel overlapping clustering method is proposed to decompose the large-scale group into several overlapping subgroups characterized by low evaluation conflict and stable trust relationship, thereby identify ordinary and key DMs. Secondly, a two-criteria consensus reaching judgment method is devised as the termination condition for the consensus reaching process. Thirdly, a novel bidirectional adjustment method considering heterogeneous DMs is constructed, which focuses on key DMs belonging to multiple subgroups simultaneously. The adjusted evaluation values are obtained through linear uncertain minimum adjustment consensus models under two different cases. Finally, a numerical example is provided to demonstrate the feasibility of the proposed method, and the comparative and sensitivity analyses are carried out to verify the superiority of the proposed method. © 2024 Elsevier Ltd

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Computers and Industrial Engineering

  • ISSN

    0360-8352

  • e-ISSN

    1879-0550

  • Svazek periodika

    193

  • Číslo periodika v rámci svazku

    July

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    23

  • Strana od-do

    "Article number: 110260"

  • Kód UT WoS článku

    001264995100001

  • EID výsledku v databázi Scopus

    2-s2.0-85195265858