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A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601EU0" target="_blank" >RIV/61988987:17610/15:A1601EU0 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making

  • Original language description

    Classical Bonferroni mean, defined by Bonferroni in 1950, assumes homogeneous relation among the attributes, i.e., each attribute Ai is related to the rest of the attributes. In this paper, we emphasize the importance of having an aggregation operator, which we will refer to as the extended Bonferroni mean operator to capture heterogeneous interrelationship among the attributes. A practical example is presented to demonstrate the applicability of our results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

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

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE T FUZZY SYST

  • ISSN

    1063-6706

  • e-ISSN

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    1817-1831

  • UT code for WoS article

  • EID of the result in the Scopus database