IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/849897.html
   My bibliography  Save this article

A Multiple Attribute Group Decision Making Approach for Solving Problems with the Assessment of Preference Relations

Author

Listed:
  • Taho Yang
  • Yiyo Kuo
  • David Parker
  • Kuan Hung Chen

Abstract

A number of theoretical approaches to preference relations are used for multiple attribute decision making (MADM) problems, and fuzzy preference relations is one of them. When more than one person is interested in the same MADM problem, it then becomes a multiple attribute group decision making (MAGDM) problem. For both MADM and MAGDM problems, consistency among the preference relations is very important to the result of the final decision. The research reported in this paper is based on a procedure that uses a fuzzy preference relations matrix which satisfies additive consistency. This matrix is used to solve multiple attribute group decision making problems. In group decision problems, the assessment provided by different experts may diverge considerably. Therefore, the proposed procedure also takes a heterogeneous group of experts into consideration. Moreover, the methods used to construct the decision matrix and determine the attribution of weight are both introduced. Finally a numerical example is used to test the proposed approach; and the results illustrate that the method is simple, effective, and practical.

Suggested Citation

  • Taho Yang & Yiyo Kuo & David Parker & Kuan Hung Chen, 2015. "A Multiple Attribute Group Decision Making Approach for Solving Problems with the Assessment of Preference Relations," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, April.
    • Handle: RePEc:hin:jnlmpe:849897
    DOI: 10.1155/2015/849897
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/849897.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2015/849897.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/849897?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Manzanares-Cañizares & Alberto Sánchez-Lite & Víctor F. Rosales-Prieto & José Luis Fuentes-Bargues & Cristina González-Gaya, 2022. "A 5S Lean Strategy for a Sustainable Welding Process," Sustainability, MDPI, vol. 14(11), pages 1-17, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:849897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.