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Fuzzy sets theory and the Millennium Development Goals progress measurement in Cameroon

Author

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  • Chameni Nembua, Célestin
  • Miamo Wendji, Clovis

Abstract

This paper uses the fuzzy set theory recently suggested by Cerioli and Zani (1990) and Dagum and Costa (2004) to derive a methodology to construct a Millennium Development Goals (MDGs) measurement index. Using the formulation of the index, it also derives the contribution of different attributes to the level of the progress being accomplished in achieving the MDGs. An empirical illustration, based on Cameroonian 2010 MDGs report, shows the usefulness of the procedure proposed in this paper.

Suggested Citation

  • Chameni Nembua, Célestin & Miamo Wendji, Clovis, 2012. "Fuzzy sets theory and the Millennium Development Goals progress measurement in Cameroon," MPRA Paper 46653, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:46653
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    File URL: https://mpra.ub.uni-muenchen.de/46653/8/MPRA_paper_46653.pdf
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    References listed on IDEAS

    as
    1. Stephane Mussard & Maria Noel Pi Alperin, 2008. "Inequalities in multidimensional poverty: evidence from Argentina," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 759-765.
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    2. BILOA ESSIMI Jean Aristide, BEJA & CHAMENI NEMBUA Célestin, CNC & MIAMO WENDJI Clovis, MWC, 2012. "A subgroup decomposition of inequality of poverty in Cameroon," MPRA Paper 38141, University Library of Munich, Germany.

    More about this item

    Keywords

    Fuzzy Set; Millennium Development Goals; Index; Cameroon;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General

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