Fuzzy sets and statistics: Application to evaluation of economic development efficiency

Issue title: Statistical Methods in Optimization and Operations Research

Guest editors: Alexander Topchishvili

Article type: Research Article

Authors: Dolenko, Galyna^{a; *} | Konareva, Evgenia^b | Manovytska, Dariia^b

Affiliations: [a] Associate Professor, Taras Shevchenko National University of Kyiv, Faculty of Cybernetics, Department of System Analysis and Decision Making Theory, 2/6, Akad. Glushkova Prospekt, Kyiv, Ukraine | [b] Taras Shevchenko National University of Kyiv, Kyiv, Ukraine | Marburg, Germany & Minneapolis, USA

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: The aim of this paper is the evaluation of effectiveness of economic development of organizational system with the help of the fuzzy sets theory and the elements of applied statistics. The model and the method of evaluation of effectiveness of economic development of organizational system are proposed to consideration. The methodology is illustrated through example of Ukraine. Statistical data over the years 2009–2010 is used for calculations.

Keywords: Economic development, regional politics, evaluation method, complex evaluation, result indicators, fuzzy set, applied statistics, multicriteria decision making, analytic hierarchy process

DOI: 10.3233/MAS-2011-0204

Journal: Model Assisted Statistics and Applications, vol. 6, no. 3, pp. 219-229, 2011