Mathematical methods of identification of Ukrainian enterprises competitiveness level by fuzzy logic using

Economic Annals-XXI: Volume 134, Issue 9-10(2), Pages: 59-62

Citation information:
Аzarova, А., & Zhytkevych, О. (2013). Mathematical methods of identification of Ukrainian enterprises competitiveness level by fuzzy logic using. Economic Annals-XXI, 9-10(2), 59-62. https://ea21journal.world/index.php/ea-v134-16/


Аnzhelika Аzarova
PhD (Technical Sciences),
Professor,
Vinnytsia National Technical University
95 Khmelnytske highway, Vinnytsia, 21021, Ukraine
azarova.angelika@mail.ru

Оlena Zhytkevych
PhD Degree Seeker,
Vinnytsia National Technical University
95 Khmelnytske highway, Vinnytsia, 21021, Ukraine
elena.zhitkevich@gmail.com

Mathematical methods of identification of Ukrainian enterprises competitiveness level by fuzzy logic using

Abstract. The expediency to apply mathematic method based on fuzzy logic to evaluate enterprises competitiveness level is regarded in the article. This approach takes into account the various qualities and types of parameters, accurately and adequately determines the level of competitiveness with minimum time and expense. The purpose of the article is to develop mathematic method of enterprises competitiveness evaluation based on fuzzy logic that enables to reason its actions for further improvement.

The main advantages of the method proposed by the authors are ability to analyze the influence of varied factors affecting on the level of enterprises competitiveness; to make rational decisions based on linguistic information under conditions of incomplete input information; clarity, transparency and possibility of automation which enable easy usage by Ukrainian enterprises.

Keywords: Enterprises Competitiveness; Mathematical Model; Fuzzy Logic

JEL Classification: L29

References

  1. Moshnov, V. A. (2008). Comprehensive assessment of the enterprises competitiveness. Marketing, 7, 29-37 (in Russ.).
  2. Azoev, G., & Chelenkov, A. (2007). Competitive advantages of the company. Moscow: Novosti (in Russ.).
  3. Bagiev, G. (2009). Conceptual basis for the formation of marketing interactions in terms of market networks.
    Retrieved from http://www.m-economy.ru/art.php?nArtId=2887 (in Russ.)
  4. Fashiev, H., & Popova, E. (2003). How to measure the competitiveness of the company. Marketing v Rosii i za rubezhom (Marketing in Russia and Abroad), 4, 53-68 (in Russ.).
  5. Porter, M. E. (1979). How competitive forces shape strategy (Trans. from Eng.). Harvard Business Review, 57(2), 137-145.
  6. Аzarova, A., & Zhytkevych, O. (2013). Calculation methods of domestic enterprises’ competitiveness evaluation. Economic Annals-XXI, 3-4(1), 93-95.
    Retrieved from https://ea21journal.world/index.php/ea-v127-26/ (in Ukr.)
  7. Zade, L. (1976). The concept of a linguistic variable and application of it to the adoption of approximate solutions. Moscow: Mir (in Russ.).
  8. Yukhymchuk, S., & Azarova, A. (2003). Mathematical models of risk for systems of decision support. Kyiv: Universum-Vinnitsia (in Ukr.).

Received 18.08.2013