• DocumentCode
    629534
  • Title

    White goods brand selection by using Generalized Choquet Integral

  • Author

    Yayla, A. Yesim ; Yildiz, Aykut

  • Author_Institution
    Mech. Eng. Dept., Marmara Univ., Istanbul, Turkey
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    White goods brand selection decision have become a multi-criteria decision making problem depending on the variety of customer demands and developments at the white goods technology recently. In this study, the selection of the best among the alternative white goods brand is handled as a Multi Criteria Decision Making (MCDM) problem. Within the scope of this study, alternative three white goods brands (A, B, C) are evaluated. Firstly in the scope of the evaluation, a decision team is created as formed by two persons from three families who confronted with such kind of a choice problem. Common view of the decision team is taken for generating hierarchical decision model to be used in evaluation of alternative white goods brands. The Generalized Choquet Integral (GCI) method, being one of the MCDM methods, is used at solution of the problem. At the end of the study, obtained results and evaluations are included.
  • Keywords
    decision making; integral equations; marketing; operations research; A-white goods brand; B-white goods brand; C-white goods brand; GCI method; MCDM problem; customer demands; decision team; generalized Choquet integral method; hierarchical decision model generation; multicriteria decision making problem; white goods brand selection decision; white goods technology developments; Additives; Decision making; Educational institutions; Erbium; Home appliances; Pragmatics; Tin; generalized Choquet integral; white goods brand selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
  • Conference_Location
    Albena
  • Print_ISBN
    978-1-4799-0659-8
  • Type

    conf

  • DOI
    10.1109/INISTA.2013.6577629
  • Filename
    6577629