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Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73590122" target="_blank" >RIV/61989592:15310/18:73590122 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1109/TFUZZ.2017.2769041" target="_blank" >http://dx.doi.org/10.1109/TFUZZ.2017.2769041</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TFUZZ.2017.2769041" target="_blank" >10.1109/TFUZZ.2017.2769041</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making

  • Popis výsledku v původním jazyce

    In multicriteria group decision-making problems, we need to determine the relative importances among criteria as well as among experts. When doing so, however, we often face the situations where consensuses within experts over different criteria need to he considered, and where uncertainties arise when experts do evaluations. Therefore, we need some special and reasonable methods to generate weights in such situations. In this study, three elaborately devised methods suggest ways to generate relative importance among experts, criteria, and the combination of them, respectively. The first one elicits the consensus extents within experts over different criteria, by which it can generate suitable weights among different criteria. The second one fully considers the uncertain nature when experts do evaluations, and proposes a fuzzy model which can generate weighting vector among experts according to the certainty degrees of valuations given by all the experts. In the last method, when relative importances among both experts and criteria are predetermined in the form of two capacities with dimension n and m, respectively, we find an interesting mechanism to successfully melt them into one nm-dimensional capacity which is based on given cognitive strength and on the proposed concept of compromised active/passive consensus.

  • Název v anglickém jazyce

    Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making

  • Popis výsledku anglicky

    In multicriteria group decision-making problems, we need to determine the relative importances among criteria as well as among experts. When doing so, however, we often face the situations where consensuses within experts over different criteria need to he considered, and where uncertainties arise when experts do evaluations. Therefore, we need some special and reasonable methods to generate weights in such situations. In this study, three elaborately devised methods suggest ways to generate relative importance among experts, criteria, and the combination of them, respectively. The first one elicits the consensus extents within experts over different criteria, by which it can generate suitable weights among different criteria. The second one fully considers the uncertain nature when experts do evaluations, and proposes a fuzzy model which can generate weighting vector among experts according to the certainty degrees of valuations given by all the experts. In the last method, when relative importances among both experts and criteria are predetermined in the form of two capacities with dimension n and m, respectively, we find an interesting mechanism to successfully melt them into one nm-dimensional capacity which is based on given cognitive strength and on the proposed concept of compromised active/passive consensus.

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

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    IEEE TRANSACTIONS ON FUZZY SYSTEMS

  • ISSN

    1063-6706

  • e-ISSN

  • Svazek periodika

    26

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    12

  • Strana od-do

    2225-2236

  • Kód UT WoS článku

    000440798300038

  • EID výsledku v databázi Scopus

    2-s2.0-85032787791