IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v28y2015i1p959-980.html
   My bibliography  Save this article

An integrated approach of system dynamics simulation and fuzzy inference system for retailers’ credit scoring

Author

Listed:
  • Vahid Baradaran
  • Maryam Keshavarz

Abstract

The assessment of retailers’ credit risk is a complex task in which financial risks enable different behaviour mechanisms and this adds to the complexity of the problem. The modelling approach of this article incorporated behavioural styles of retailers in repayment of their liabilities into an integrated fuzzy system dynamics model of retailers’ credit scoring. This study introduces an integrated system dynamics model to study credit risk of retailers. To this end, first the influencing factors on the retailers’ credit risk should be determined. Then the relation between these variables should be specified in the system dynamics model. The fuzzy uncertainty also is dealt with using the integration of system dynamics model and fuzzy inference system (FIS). The contribution of this article is twofold. First, this is the first study that proposes a system dynamics model to analyse credit risk of the retailers. Second, the proposed model of this study integrates system dynamics model with FIS modelling concept to address the fuzzy uncertainty and non-linearity in the modelling environment.

Suggested Citation

  • Vahid Baradaran & Maryam Keshavarz, 2015. "An integrated approach of system dynamics simulation and fuzzy inference system for retailers’ credit scoring," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 28(1), pages 959-980, January.
    • Handle: RePEc:taf:reroxx:v:28:y:2015:i:1:p:959-980
    DOI: 10.1080/1331677X.2015.1087873
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2015.1087873
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1331677X.2015.1087873?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:reroxx:v:28:y:2015:i:1:p:959-980. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .

    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.