IDEAS home Printed from https://ideas.repec.org/a/fzy/fuzeco/vxviiy2012i2p23-42.html
   My bibliography  Save this article

The Moore'S Closure For Analyzing Relationships Between Agents In Industrial Clusters

Author

Listed:
  • Vidal-Suñé, Antoni

    (Department of Business, Universitat Rovira i Virgili, Spain)

  • Fonts-Ribas, Albert

    (Department of Business, Universitat Rovira i Virgili, Spain)

Abstract

Industrial clusters try to exploit the effect of external economies and joint actions that come from the collaboration between their agents. But in order that these effects arise it is needed close cooperation partnerships between the agents in the industrial cluster, which could improve competitiveness. It’s obvious, therefore, that analyzing which are the relationships between the agents in the industrial cluster is critical to make strategic decisions that promote and improve the competitiveness of the industrial cluster. This paper proposes a methodology based on obtaining a fuzzy relation from which, applying Moore’s closure in an uncertain situation, we can identify subrelations that group industrial cluster agents depending on their degree of affinity based on the intensity of their relationships.

Suggested Citation

  • Vidal-Suñé, Antoni & Fonts-Ribas, Albert, 2012. "The Moore'S Closure For Analyzing Relationships Between Agents In Industrial Clusters," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 23-42, November.
    • Handle: RePEc:fzy:fuzeco:v:xvii:y:2012:i:2:p:23-42
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below 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.

    More about this item

    Keywords

    affinity; moore’s closure; fuzzy relations; industrial cluster;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:fzy:fuzeco:v:xvii:y:2012:i:2:p:23-42. 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: Aurelio Fernandez (email available below). General contact details of provider: https://edirc.repec.org/data/sigefea.html .

    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.