InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Temporal and Threshold Analysis

  • Vassia AtanassovaEmail author
  • Lyubka Doukovska
  • Deyan Mavrov
  • Krassimir Atanassov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 322)


In this paper, we present some interesting findings from the application of our recently developed InterCriteria Decision Making (ICDM) approach to data extracted from the World Economic Forum’s Global Competitiveness Reports for the years 2008–2009 to 2013–2014 for the current 28 Member States of the European Union. The developed approach which employs the apparatuses of index matrices and intuitionistic fuzzy sets is designed to produce from an existing index matrix with multiobject multicriteria evaluations a new index matrix that contains intuitionistic fuzzy pairs with the correlations revealed to exist in between the set of evaluation criteria, which are not obligatory there ‘by design’ of the WEF’s methodology but exist due to the integral, organic nature of economic data. Here, we analyse the data from the six-year period within a reasonably chosen intervals for the thresholds of the intuitionistic fuzzy functions of membership and non-membership, and make a series of observations about the current trends in the factors of competitiveness of the European Union. The whole research and the conclusions derived are in line with WEF’s address to state policy makers to identify and strengthen the transformative forces that will drive future economic growth.


Global Competitiveness Index Index matrix InterCriteria decision making Intuitionistic fuzzy sets Multicriteria decision making 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Atanassov, K.: Intuitionistic fuzzy sets, VII ITKR’s Session, Sofia (June 1983) (in Bulgarian)Google Scholar
  2. 2.
    Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets and Systems 20(1), 87–96 (1986)CrossRefzbMATHMathSciNetGoogle Scholar
  3. 3.
    Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)CrossRefzbMATHGoogle Scholar
  4. 4.
    Atanassov, K.: Intuitionistic Fuzzy Sets: Theory and Applications. Physica-Verlag, Heidelberg (1999)CrossRefzbMATHGoogle Scholar
  5. 5.
    Atanassov, K.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin (2012)CrossRefzbMATHGoogle Scholar
  6. 6.
    Atanassov, K., Mavrov, D., Atanassova, V.: InterCriteria decision making. A new approach for multicriteria decision making, based on index matrices and intuitionistic fuzzy sets. In: Proc. of 12th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Warsaw, Poland, October 11 (2013) (in press)Google Scholar
  7. 7.
    Atanassova, V., Doukovska, L., Atanassov, K., Mavrov, D.: InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis. In: Proc. of 4th Int. Symp. on Business Modelling and Software Design, Luxembourg, June 24-26 (in press, 2014)Google Scholar
  8. 8.
    World Economic Forum. The Global Competitiveness Reports (2008-2013),
  9. 9.
    Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 333–353 (1965)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vassia Atanassova
    • 1
    • 3
    Email author
  • Lyubka Doukovska
    • 1
  • Deyan Mavrov
    • 2
  • Krassimir Atanassov
    • 2
    • 3
  1. 1.Intelligent Systems DepartmentIICT – Bulgarian Academy of SciencesSofiaBulgaria
  2. 2.Computer Systems and Technologies Department“Prof. Dr. Asen Zlatarov” UniversityBurgasBulgaria
  3. 3.Bioinformatics and Mathematical Modelling DepartmentIBPhBME – Bulgarian Academy of SciencesSofiaBulgaria

Personalised recommendations