Fuzzy Set Approach to Multidimensional Poverty Measurement

1. Introduction
Achille Lemmi, Gianni Betti

2. Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality
Mozaffar Qizilbash

3. The Mathematical Framework of Fuzzy Logic
Bernard Fustier

4. An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets
Satya R. Chakravarty

5. On the Convergence of Various Unidimensional Approaches
Ehud Menirav

6. Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues
Enrica Chiappero Martinetti

7. Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach
Gianni Betti, Bruno Cheli, Achille Lemmi, Vijay Verma

8. French Poverty Measures using Fuzzy Set Approaches
Valérie Berenger, Franck Celestini

9. The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel
Joseph Deutsch, Jacques Silber

10. Multidimensional Fuzzy Set Approach Poverty Estimates in Romania
Maria Molnar, Filofteia Panduru, Andreea Vasile, Viorica Duma

11. Multidimensional and Fuzzy Poverty in Switzerland
David Miceli

12. A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys
Josiane Vero

13. Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland
Tomasz Panek

14. Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression
Gianni Betti, Antonella D’Agostino, Laura Neri

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Keywords: BUSINESS & ECONOMICS / Management Science BUS042000