Abstract
Poverty is a multidimensional one, which means that the poor can suffer multiple disadvantages at the same time. This paper aims to further develop and refine the multidimensional poverty measure using Fuzzy Sets Theory (FST). The application of FST starts with properly conveying the realities of attributes inequality and poverty proposing appropriate and justified membership functions for both variables. And then, applying fuzzy rules to integrate attributes inequality in multidimensional poverty measures. We obtain a class of fuzzy multidimensional poverty integrated indices. An application based on individual well-being data from Tunisian households in 2015 is presented to illustrate the use of proposed concepts.