Fuzzy sets theory and the Millennium Development Goals progress measurement in Cameroon
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.
|Date of creation:||22 May 2012|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
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.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:46653. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.