Fuzzy Set Approach to Multidimensional Poverty Measurement

Recent theoretical and empirical studies have concluded that in order to be accurate, poverty and deprivation must be measured within a multidimensional framework that is consistent, efficient, and statistically robust. The fuzzy set approach to poverty measurement was developed in the early 1990s a...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Lemmi, Achille A. (Editor), Betti, Gianni (Editor)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Economic Studies in Inequality, Social Exclusion and Well-Being, 3
Subjects:
Econometrics.
Probabilities.
Sociology.
Sociology-Methodology.
Quantitative Economics.
Probability Theory.
Sociological Methods.
Online Access:Texto Completo
Table of Contents:
  • Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality
  • The Mathematical Framework of Fuzzy Logic
  • An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets
  • On the Convergence of Various Unidimensional Approaches
  • Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues
  • Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach
  • French Poverty Measures using Fuzzy Set Approaches
  • The "Fuzzy Set" Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel
  • Multidimensional Fuzzy Set Approach Poverty Estimates in Romania
  • Multidimensional and Fuzzy Poverty in Switzerland
  • A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers' Surveys
  • Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland
  • Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression.

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