French Poverty Measures using Fuzzy Set Approaches

  • Valérie Berenger
  • Franck Celestini
Part of the Economic Studies in Inequality, Social Exclusion and Well-Being book series (EIAP, volume 3)


Exponential Distribution Poverty Measure Wealth Distribution Multidimensional Poverty Poverty Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Berenger V, Celestini F (2004) Is There a Clearly Identifiable Distribution Function of Individual Poverty Scores? Presented at the 4th conference on the Capability Approach: Enhancing Human Security. University of Pavia, September 2004Google Scholar
  2. Boettcher H (1994) The Use of Fuzzy Sets Techniques in the Context of Welfare Decisions. In: Eichhorn W (ed) Models and Measurement of Welfare Inequality. Springer, Heidelberg, pp 891–899.Google Scholar
  3. Cerioli A, Zani S (1990) A Fuzzy Approach to the Measurement of Poverty. In: Dagum C, Zenga M (eds) Income and Wealth Distribution, Inequality and Poverty. Springer, Heidelberg, pp 272–284.Google Scholar
  4. Cheli B, Ghellini G, Lemmi A, Pannuzi N (1994) Measuring Poverty in Transition via TFR Method: the Case of Poland in 1990–1991. Statistics in Transition 5:585–636.Google Scholar
  5. Cheli B, Lemmi A (1995) A “Totally” Fuzzy and Relative Approach to the Multi-dimensional Analysis of Poverty. Economic Notes 24:115–134.Google Scholar
  6. Chiappero-Martinetti E (1996) Standard of Living Evaluation base on Sen’s Approach: Some Methodological Suggestions. Notizie di Politeia 12:37–53.Google Scholar
  7. Chiappero-Martinetti E (2000) A multidimensional Assessment of Well-Being Based on Sen’s Functioning Approach. Rivista Internazionale di Scienze Sociali 108:207–239.Google Scholar
  8. Costa M (2003) A Comparison between Unidimensional and Multidimensional Approaches to the Measurement of Poverty. IRISS Working Papers Series 2003-02Google Scholar
  9. Dagum C (1990) Generation and Properties of Income Distribution Functions. In: Dagum C, Zenga M (eds) Income and Wealth Distribution, Inequality and Poverty. Springer, Heidelberg, pp 1–17.Google Scholar
  10. Dagum C (1999) Linking the Functional and Personal Distributions of Income. In: Silber J (ed) Handbook on Income Inequality Measurement. Kluwer Academic Publishers, Boston, pp 101–132.Google Scholar
  11. Dagum C (2002) Analysis and Measurement of Poverty and Social Exclusion using Fuzzy Set Theory: Applications and Policy Implications. Working Paper, University of BolognaGoogle Scholar
  12. Dragulescu A, Yakovenko VM (2000) Evidence for Exponential Distribution of Income in the USA. The European Physical Journal B 20:585–589.CrossRefADSGoogle Scholar
  13. Dubois D, Prade H (1980) Fuzzy Sets and Systems: Theory and Applications. Academic Press, BostonzbMATHGoogle Scholar
  14. INSEE Enquête des Conditions de Vie des Ménages. Distributed by LASMAS-Idl C.N.R.S. (1986–1987), (1993–1994)Google Scholar
  15. Kakwani N (1980a), On a Class of Poverty Measures. Econometrica 48:437–446.zbMATHCrossRefMathSciNetGoogle Scholar
  16. Kakwani N (1980b), Income Inequality and Poverty: Methods of Estimation and Applications. Oxford University Press, New YorkGoogle Scholar
  17. Lelli S (2001) Factor Analysis vs. Fuzzy Sets theory: Assessing the influence of Different Techniques on Sen’s Functioning Approach. Presented at the conference on “Justice and poverty: Examining Sen’s Capability Approach”. St. Edmund’s College, Cambridge, June 2001Google Scholar
  18. Mack J, Lansley S (1985) Poor Britain. Allen & Unwin, LondonGoogle Scholar
  19. Miceli D (1998) Measuring Poverty using Fuzzy Sets. NATSEM, Discussion paper no 38Google Scholar
  20. Pareto V. (1897) Cours d’Economie Politique. In: Bousquet GH, Busino G (eds), Geneva, Librairie Droz, 1965; vol.3.Google Scholar
  21. Qizilbash M (2002) A Note on the Measurement of Poverty and Vulnerability in the South African Context. Journal of International Development 14:757–772.CrossRefGoogle Scholar
  22. Qizilbash M (2004) On the Arbitrariness and Robustness of Multi-Dimensional Poverty Rankings. WIDER Research Paper, 37Google Scholar
  23. Sen A (1985) Commodities and Capabilities. Oxford University Press, Oxford India PaperbacksGoogle Scholar
  24. Sen A (1992) Inequality Reexamined. Harvard University Press, New DelhiGoogle Scholar
  25. Silber J (1999) Handbook on Income Inequality Measurement. Kluwer Academic publishers, BostonGoogle Scholar
  26. Sornette D (2000) Critical Phenomena in Natural Sciences. Springer-Verlag, BerlinzbMATHGoogle Scholar
  27. Zadeh LA (1965) Fuzzy Sets. Information and Control 8:338–353.zbMATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2006

Authors and Affiliations

  • Valérie Berenger
    • 1
  • Franck Celestini
    • 1
  1. 1.University of Nice-Sophia AntipolisFrance

Personalised recommendations