Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
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
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.
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.
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.
Cheli B, Lemmi A (1995) A “Totally” Fuzzy and Relative Approach to the Multi-dimensional Analysis of Poverty. Economic Notes 24:115–134.
Chiappero-Martinetti E (1996) Standard of Living Evaluation base on Sen’s Approach: Some Methodological Suggestions. Notizie di Politeia 12:37–53.
Chiappero-Martinetti E (2000) A multidimensional Assessment of Well-Being Based on Sen’s Functioning Approach. Rivista Internazionale di Scienze Sociali 108:207–239.
Costa M (2003) A Comparison between Unidimensional and Multidimensional Approaches to the Measurement of Poverty. IRISS Working Papers Series 2003-02
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.
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.
Dagum C (2002) Analysis and Measurement of Poverty and Social Exclusion using Fuzzy Set Theory: Applications and Policy Implications. Working Paper, University of Bologna
Dragulescu A, Yakovenko VM (2000) Evidence for Exponential Distribution of Income in the USA. The European Physical Journal B 20:585–589.
Dubois D, Prade H (1980) Fuzzy Sets and Systems: Theory and Applications. Academic Press, Boston
INSEE Enquête des Conditions de Vie des Ménages. Distributed by LASMAS-Idl C.N.R.S. (1986–1987), (1993–1994)
Kakwani N (1980a), On a Class of Poverty Measures. Econometrica 48:437–446.
Kakwani N (1980b), Income Inequality and Poverty: Methods of Estimation and Applications. Oxford University Press, New York
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
Mack J, Lansley S (1985) Poor Britain. Allen & Unwin, London
Miceli D (1998) Measuring Poverty using Fuzzy Sets. NATSEM, Discussion paper no 38
Pareto V. (1897) Cours d’Economie Politique. In: Bousquet GH, Busino G (eds), Geneva, Librairie Droz, 1965; vol.3.
Qizilbash M (2002) A Note on the Measurement of Poverty and Vulnerability in the South African Context. Journal of International Development 14:757–772.
Qizilbash M (2004) On the Arbitrariness and Robustness of Multi-Dimensional Poverty Rankings. WIDER Research Paper, 37
Sen A (1985) Commodities and Capabilities. Oxford University Press, Oxford India Paperbacks
Sen A (1992) Inequality Reexamined. Harvard University Press, New Delhi
Silber J (1999) Handbook on Income Inequality Measurement. Kluwer Academic publishers, Boston
Sornette D (2000) Critical Phenomena in Natural Sciences. Springer-Verlag, Berlin
Zadeh LA (1965) Fuzzy Sets. Information and Control 8:338–353.
Author information
Authors and Affiliations
Editor information
Rights 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
DOI: https://doi.org/10.1007/978-0-387-34251-1_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34249-8
Online ISBN: 978-0-387-34251-1
eBook Packages: Business and EconomicsEconomics and Finance (R0)