Skip to main content

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • 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 2004

    Google Scholar 

  • 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 

  • 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 

  • 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 

  • 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 

  • Chiappero-Martinetti E (1996) Standard of Living Evaluation base on Sen’s Approach: Some Methodological Suggestions. Notizie di Politeia 12:37–53.

    Google Scholar 

  • 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 

  • Costa M (2003) A Comparison between Unidimensional and Multidimensional Approaches to the Measurement of Poverty. IRISS Working Papers Series 2003-02

    Google Scholar 

  • 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 

  • 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 

  • Dagum C (2002) Analysis and Measurement of Poverty and Social Exclusion using Fuzzy Set Theory: Applications and Policy Implications. Working Paper, University of Bologna

    Google Scholar 

  • Dragulescu A, Yakovenko VM (2000) Evidence for Exponential Distribution of Income in the USA. The European Physical Journal B 20:585–589.

    Article  ADS  Google Scholar 

  • Dubois D, Prade H (1980) Fuzzy Sets and Systems: Theory and Applications. Academic Press, Boston

    MATH  Google Scholar 

  • INSEE EnquĂŞte des Conditions de Vie des MĂ©nages. Distributed by LASMAS-Idl C.N.R.S. (1986–1987), (1993–1994)

    Google Scholar 

  • Kakwani N (1980a), On a Class of Poverty Measures. Econometrica 48:437–446.

    Article  MATH  MathSciNet  Google Scholar 

  • Kakwani N (1980b), Income Inequality and Poverty: Methods of Estimation and Applications. Oxford University Press, New York

    Google Scholar 

  • 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 2001

    Google Scholar 

  • Mack J, Lansley S (1985) Poor Britain. Allen & Unwin, London

    Google Scholar 

  • Miceli D (1998) Measuring Poverty using Fuzzy Sets. NATSEM, Discussion paper no 38

    Google Scholar 

  • Pareto V. (1897) Cours d’Economie Politique. In: Bousquet GH, Busino G (eds), Geneva, Librairie Droz, 1965; vol.3.

    Google Scholar 

  • Qizilbash M (2002) A Note on the Measurement of Poverty and Vulnerability in the South African Context. Journal of International Development 14:757–772.

    Article  Google Scholar 

  • Qizilbash M (2004) On the Arbitrariness and Robustness of Multi-Dimensional Poverty Rankings. WIDER Research Paper, 37

    Google Scholar 

  • Sen A (1985) Commodities and Capabilities. Oxford University Press, Oxford India Paperbacks

    Google Scholar 

  • Sen A (1992) Inequality Reexamined. Harvard University Press, New Delhi

    Google Scholar 

  • Silber J (1999) Handbook on Income Inequality Measurement. Kluwer Academic publishers, Boston

    Google Scholar 

  • Sornette D (2000) Critical Phenomena in Natural Sciences. Springer-Verlag, Berlin

    MATH  Google Scholar 

  • Zadeh LA (1965) Fuzzy Sets. Information and Control 8:338–353.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Achille Lemmi Gianni Betti

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Berenger, V., Celestini, F. (2006). French Poverty Measures using Fuzzy Set Approaches. In: Lemmi, A., Betti, G. (eds) Fuzzy Set Approach to Multidimensional Poverty Measurement. Economic Studies in Inequality, Social Exclusion and Well-Being, vol 3. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34251-1_8

Download citation

Publish with us

Policies and ethics