IDEAS home Printed from
   My bibliography  Save this article

Using Fuzzy Logic for Evaluating the Level of Countries’ (Regions’) Economic Development


  • Gordan Stojić

    () (Technical Sciences, University of Novi Sad, Serbia)


There are several divisions of countries and regions in the world. Besides geo-political divisions, there also are economic divisions. The most common economic division is the that on developed countries and the poor ones. These divisions are a consequence of the level of: GDP, GDP per capita, unemployment rate, industrial growth, and so on. The question is how to define a mathematical model based on which the following will be assessed: who is rich and who is poor, or who is economically developed and who is not? How the boundaries of transition from one category to another can be defined? This paper presents a model for evaluating the level of economic development of countries and regions using "fuzzy" logic. The model was tested on a sample of 19 EU member countries and aspirants for membership.

Suggested Citation

  • Gordan Stojić, 2012. "Using Fuzzy Logic for Evaluating the Level of Countries’ (Regions’) Economic Development," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 59(3), pages 293-310, June.
  • Handle: RePEc:voj:journl:v:59:y:2012:i:3:p:293-310

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Kim, Dong-Hyeon & Lin, Shu-Chin & Suen, Yu-Bo, 2010. "Dynamic effects of trade openness on financial development," Economic Modelling, Elsevier, vol. 27(1), pages 254-261, January.
    2. Balistreri, Edward J. & Rutherford, Thomas F. & Tarr, David G., 2009. "Modeling services liberalization: The case of Kenya," Economic Modelling, Elsevier, vol. 26(3), pages 668-679, May.
    3. Nathalie Homlong & Elisabeth Springler, 2010. "Economic Development and Foreign Direct Investment: How to Create Sustainable Development An Analysis of the Potential for Sustainable Development on the Indian Subcontinent," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 333-347, September.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Model; Evaluation; Economy development; Fuzzy sets.;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development


    Access and download statistics


    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:voj:journl:v:59:y:2012:i:3:p:293-310. 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: (Ivana Horvat). 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.

    If CitEc recognized a reference but did not link an item in RePEc 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 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.