A fuzzy logic approach to measure overweight
AbstractWe apply fuzzy sets theory to measure the extent of overweight in Luxembourg. This methodology permits to differentiate between mild or severe forms of overweight and to identify the sub-populations which contribute most to global overweight. The application to residents of Luxembourg shows that natives are those who contribute most to global overweight. Specifically, men are more affected than women, the intensity of overweight is more severe with age and the more educated are less affected by obesity.
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Bibliographic InfoPaper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2011-55.
Length: 24 pages
Date of creation: Nov 2011
Date of revision:
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decomposition; fuzzy set theory; overweight;
Find related papers by JEL classification:
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- I19 - Health, Education, and Welfare - - Health - - - Other
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- Mozaffar Qizilbash, 2001. "Vague language and precise measurement: the case of poverty," Journal of Economic Methodology, Taylor & Francis Journals, vol. 10(1), pages 41-58.
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