Fuzzy convergence in tourism economics

Year 2018, Volume: 4 Issue: 1, 1 - 15, 01.01.2018

Kurtuluş Bozkurt , Nevin Güler Ozan Bahar

https://doi.org/10.24288/jttr.330951

Cited By: 2

Abstract

Economic convergence has two meanings: the first
refers to a more equitative system of wealth distribution (sigma-convergence),
whereas Beta convergence is related to a higher rate of growth within poor
countries than in rich ones. Assessing Neoclassical Growth through the
convergence hypothesis has been catching the attention of the researchers since
the 1950s.  In order to test convergence, statistical methods such as
regression analysis and panel data analysis are generally used. However, these
methods are based on some strict assumptions that the practical problems do not
support. This study purposes fuzzy convergence method that does not require any
assumptions. Fuzzy convergence is based on fuzzy logic that is especially used
to analyze problems including uncertainty,
vagueness or impreciseness. Fuzzy convergence has been proposed for
the first time in this study and has been used firstly to test whether fuzzy
convergence is present or not in terms of international tourism receipts. This
study aims to estimate which membership values of countries or regions are
convergent or divergent, in the other words, introducing the part-convergence
and part-divergence concept.  The results suggest that fuzzy convergence
exists within countries. The originality of this study is to use convergence
concept based on fuzzy logic. Thus, we aim to estimate which membership values
of countries or regions are convergent or divergent, in other words,
introducing the part-convergence and part-divergence concept.

Keywords

Fuzzy Logic, Convergence, tourism

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