Open Access
November 2012 Mesures de la pauvreté au Congo utilisant la logique floue
Samuel Ambapour, Rufin Bidounga
Afr. Stat. 7(1): 412-424 (November 2012).


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)


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Samuel Ambapour. Rufin Bidounga. "Mesures de la pauvreté au Congo utilisant la logique floue." Afr. Stat. 7 (1) 412 - 424, November 2012.


Published: November 2012
First available in Project Euclid: 1 February 2013

MathSciNet: MR3034387

Primary: 91B82
Secondary: 94D05

Keywords: Fuzzy measure of poverty , Fuzzy sets and logic , Logique floue , Mesure floue de la pauvreté

Rights: Copyright © 2012 The Statistics and Probability African Society

Vol.7 • No. 1 • November 2012
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