Attributes inequality in multidimensional poverty measures fuzzy modeling

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