Fuzzy sets theory and the Millennium Development Goals progress measurement in Cameroon
AbstractThis 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 46653.
Date of creation: 22 May 2012
Date of revision:
Fuzzy Set; Millennium Development Goals; Index; Cameroon;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- O20 - Economic Development, Technological Change, and Growth - - Development Planning and Policy - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-04 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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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