Measurement of the monetary poverty in Cameroon using fuzzy measure theory

Chantal Mveh-Abia, Yves Emvudu and Eric Kokomo

Journal of Statistical and Econometric Methods, 2018, vol. 7, issue 4, 3

Abstract: In this paper, we construct a unidimensional fuzzy Foster-Greer-Thorbecke (FGT) index which enables us to measure the monetary poverty. The approach adopted for that consists to build in a measurable space, a fuzzy measurement. This fuzzy measurement allows us afterwards to deï¬ ne our unidimensional fuzzy FGT index as measurement of the fuzzy set of the poor. This fuzzy FGT index is afterwards used to measure the monetary poverty in Cameroon in the year 2014. The obtained results are compared with those obtained when the classical (non-fuzzy) FGT index is used. Mathematics Subject Classification (2010):  28E10, 28E15, 03B52.Keywords: Monetary poverty, Foster-Greer-Thorbecke index, Fuzzy Membership function.

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.scienpress.com/Upload/JSEM%2fVol%207_4_3.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spt:stecon:v:7:y:2018:i:4:f:7_4_3

Access Statistics for this article

More articles in Journal of Statistical and Econometric Methods from SCIENPRESS Ltd
Bibliographic data for series maintained by Eleftherios Spyromitros-Xioufis ().