IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Uncertainty Theory Applied to Optimal Selection of Personnel in an Enterprise

Listed author(s):
  • González Santoyo, Federico
  • Flores Romero, Beatriz
  • Chagolla Farías, Mauricio
  • Flores, Juan J.

    (Universidad Michoacana de San Nicolás de Hidalgo)

This paper presents an enriched me-thodology for the selection of personnel in private and public enterprises. The proposed methodology uses the con-cept of distance (Euclidean, Ham-ming’s, Minkowski’s, and Mahalanobis’) as a basis element for decision taking, based on the theory of fuzzy logic. Through those mechanisms we got highly efficient results in terms of the company’s interests in this functional area related to obtaining high impact intellectual assets. Adequate human resources convey high performance for the company and increase profit and place it as market leaders. We present an application case for the proposed methodology

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Article provided by International Association for Fuzzy-set Management and Economy (SIGEF) in its journal FUZZY ECONOMIC REVIEW.

Volume (Year): IX (2004)
Issue (Month): 2 (November)
Pages: 75-92

in new window

Handle: RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-92
Contact details of provider: Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-92. 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: (Aurelio Fernandez)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.