Afrika Statistika

Mesures de la pauvreté au Congo utilisant la logique floue

Samuel Ambapour and Rufin Bidounga

Full-text: Open access

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)

Article information

Source
Afr. Stat., Volume 7, Number 1 (2012), 412-424.

Dates
First available in Project Euclid: 1 February 2013

Permanent link to this document
https://projecteuclid.org/euclid.as/1359744266

Mathematical Reviews number (MathSciNet)
MR3034387

Subjects
Primary: 91B82: Statistical methods; economic indices and measures
Secondary: 94D05: Fuzzy sets and logic (in connection with questions of Section 94) [See also 03B52, 03E72, 28E10]

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

Citation

Ambapour, Samuel; Bidounga, Rufin. Mesures de la pauvreté au Congo utilisant la logique floue. Afr. Stat. 7 (2012), no. 1, 412--424. https://projecteuclid.org/euclid.as/1359744266


Export citation