IDEAS home Printed from https://ideas.repec.org/a/eph/journl/v4y2009i1n7.html
   My bibliography  Save this article

Modelling and optimizing multiple attribute decisions by using fuzzy sets

Author

Listed:
  • Gh. Gh. IONESCU

    (Faculty of Economics, West University of Timisoara)

  • Adina NEGRUSA

    (Faculty of Business, Babes-Bolyai University of Cluj-Napoca)

Abstract

The purpose of this paper is to present a coherent perspective of modeling and optimizing multiple attribute decisions by using fuzzy sets. In management practice we face most of the time the situation in which a problem have several possible solutions and each solution can be analyzed using multiple criteria models. In the same time, in real life decision making process there is a given level of uncertainty which makes difficult a clear cut analytical analysis. The object of this article is to build a model approach for making multiple criteria decision using fuzzy sets of objects. Elaborating multiple attribute decisions involves performing an assessment and selecting from a given and finite set of possible alternative courses of action in the presence of a given and finite, and usually conflicting set of attributes and criteria.

Suggested Citation

  • Gh. Gh. IONESCU & Adina NEGRUSA, 2009. "Modelling and optimizing multiple attribute decisions by using fuzzy sets," Management & Marketing, Economic Publishing House, vol. 4(1), Spring.
  • Handle: RePEc:eph:journl:v:4:y:2009:i:1:n:7
    as

    Download full text from publisher

    File URL: http://www.managementmarketing.ro/pdf/articole/129.pdf
    Download Restriction: no

    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:eph:journl:v:4:y:2009:i:1:n:7. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Simona Vasilache). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.