Fuzzy Set Approach to Multidimensional Poverty Measurement

Edited by Achille Lemmi and Gianni Betti

in Economic Studies in Inequality, Social Exclusion, and Well-Being from Springer, currently edited by Jacques Silber

Date: 2006
ISBN: 978-0-387-34251-1
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Chapters in this book:

Introduction

Achille Lemmi and Gianni Betti

Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality

Mozaffar Qizilbash

The Mathematical Framework of Fuzzy Logic

Bernard Fustier

An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets

Satya Chakravarty

On the Convergence of Various Unidimensional Approaches

Ehud Menirav

Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues

Enrica Chiappero Martinetti

Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach

Gianni Betti, Bruno Cheli, Achille Lemmi and Vijay Verma

French Poverty Measures using Fuzzy Set Approaches

Valérie Berenger and Franck Celestini

The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel

Joseph Deutsch and Jacques Silber

Multidimensional Fuzzy Set Approach Poverty Estimates in Romania

Maria Molnar, Filofteia Panduru, Andreea Vasile and Viorica Duma

Multidimensional and Fuzzy Poverty in Switzerland

David Miceli

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

Josiane Vero

Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland

Tomasz Panek

Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression

Gianni Betti, Antonella D’Agostino and Laura Neri

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DOI: 10.1007/978-0-387-34251-1

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