Mesures de la pauvreté au Congo utilisant la logique floue

Abstract

Poverty is a vague concept with ill-defined boundaries. And determining a poverty line to divide the population into two classes, poor and non-poor seems steep and hardly capture the complexity of the reality. To overcome this difficulty, we can use fuzzy logic introduced by Zadeh and developed by Dubois and Prade. At the heart of this logic lies the challenge to generalize the classical set theory, assuming there are no precise criteria to distinguish which elements belong to a set or not. This logic is used here to measure poverty in Congo in a multidimensional approach. (paper in French)