New fuzzy indices for multidimensional poverty

Issue title: Recent Advances in Soft Computing: Theories and Applications

Article type: Research Article

Authors: Belhadj, Besma

Affiliations: LA.R.E.QUA.D, FSEGN, University of Carthage, Tunis, Tunisia

Note: [] Corresponding author. Besma Belhadj, LA.R.E.QUA.D, FSEGN, University of Carthage, Tunis, Tunisia. Tel.: +216 98 936 219; Fax: +216 72 232 318; E-mail: [email protected]

Abstract: Poverty is a complex phenomenon that cannot be reduced solely to monetary dimension. This leads to the need for a multidimensional approach that consists in extending the analysis to a variety of non-monetary indicators of living conditions. The axiomatic literature has proposed some measures of multidimensional poverty and explored the properties that are at the basis of these indices. The aim of this paper is to use a Fuzzy Subset Theory perspective to propose a class of counting measures of multidimensional poverty and the assignment of different weights to the considered dimensions.

Keywords: Fuzzy sets, poverty, poverty line, membership function, weights, weighted mean

DOI: 10.3233/IFS-2012-0577

Journal: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 587-591, 2013