Using fuzzy logic for evaluating the level of countries’ (regions’) economic development
Author(s) -
Gordan Stojić
Publication year - 2012
Publication title -
panoeconomicus
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.289
H-Index - 14
eISSN - 2217-2386
pISSN - 1452-595X
DOI - 10.2298/pan1203293s
Subject(s) - sample (material) , per capita , economics , fuzzy logic , unemployment , politics , econometrics , macroeconomics , development economics , demographic economics , political science , computer science , sociology , demography , population , chemistry , chromatography , artificial intelligence , law
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
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