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A fuzzy logic approach to measure overweight


  • PI ALPERIN Maria Noel
  • BERZOSA Guayarmina


We 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.

Suggested Citation

  • PI ALPERIN Maria Noel & BERZOSA Guayarmina, 2011. "A fuzzy logic approach to measure overweight," LISER Working Paper Series 2011-55, LISER.
  • Handle: RePEc:irs:cepswp:2011-55

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    References listed on IDEAS

    1. 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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    Cited by:

    1. Alessio Fusco & Philippe Kerm & A. Alieva & L. Bellani & F. Etienne-Robert & A.-C. Guio & I. Kyzyma & K. Leduc & P. LiƩgeois & M.N.P. Alperin & A. Reinstadler & E. Sierminska & D. Sologon & P. Thill &, 2013. "GINI Country Report: Growing Inequalities and their Impacts in Luxembourg," GINI Country Reports luxembourg, AIAS, Amsterdam Institute for Advanced Labour Studies.

    More about this item


    decomposition; fuzzy set theory; overweight;

    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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