Int. J. of Intelligent Engineering Informatics   »   2017 Vol.5, No.3

 

 

Title: Fuzzy regional inequality measurement: a new stochastic dominance approach with application to Tunisia

 

Authors: Amal Jmaii; Besma Belhadj

 

Addresses:
Department of Economics and Quantitative Methods, SOIE, University of Tunis, Tunisia, 41-Bouchoucha-Bardo 2000, Tunisia
Department of Economics and Quantitative Methods, SOIE, University of Tunis, Tunisia, 41-Bouchoucha-Bardo 2000, Tunisia

 

Abstract: Since the economic reforms in 1986, Tunisia's economic growth and urbanisation has occurred a dramatic increases in regional inequality, and a corollary threat to sustainable development and social cohesion. This research clearly demonstrates that the spatial distribution of ethnic minorities reflects not only their spatial segregation, but also the degree of their socio-economic exclusion from the majority. This paper proposes a fuzzy version of dynamic stochastic approach to analyse between-region inequalities. We propose a class of fuzzy index and include them in a stochastic dominance framework to present a dominance criterion enable to class regional distribution. This study contributes to the literatures of inequalities as it takes into consideration the intrinsic nature of poverty.

 

Keywords: fuzzy approach; regional inequalities; Tunisia; data approximation for Bayesian network; stochastic dominance approach.

 

DOI: 10.1504/IJIEI.2017.10007594

 

Int. J. of Intelligent Engineering Informatics, 2017 Vol.5, No.3, pp.296 - 307

 

Available online: 04 Sep 2017

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article