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


  • Chameni Nembua, Célestin
  • Miamo Wendji, Clovis


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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    References listed on IDEAS

    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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    More about this item


    Fuzzy Set; Millennium Development Goals; Index; Cameroon;

    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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