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

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)

Citation

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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.

Information

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

MathSciNet: MR3034387

Subjects:
Primary: 91B82
Secondary: 94D05

Rights: Copyright © 2012 The Statistics and Probability African Society

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Vol.7 • No. 1 • November 2012
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