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EbookBell Team
4.7
96 reviewsISBN 10: 1441941711
ISBN 13: 9781441941718
Author: Achille A Lemmi, Gianni Betti
This volume brings together advanced thinking on the multidimensional measurement of poverty. This includes the theoretical background, applications to cross-sections using contemporary European examples, and longitudinal aspects of multidimensional fuzzy poverty analysis that pay particular attention to the transitory, or impermanent, conditions that often occur during transitions to market economies. The research is up-to-date and international.
Front Matter (Pages I–XV)
Introduction (Pages 1–7)
Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality (Pages 9–28)
The Mathematical Framework of Fuzzy Logic (Pages 29–47)
An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets (Pages 49–72)
On the Convergence of Various Unidimensional Approaches (Pages 73–91)
Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues (Pages 93–113)
Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach (Pages 115–137)
French Poverty Measures using Fuzzy Set Approaches (Pages 139–154)
The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel (Pages 155–174)
Multidimensional Fuzzy Set Approach Poverty Estimates in Romania (Pages 175–194)
Multidimensional and Fuzzy Poverty in Switzerland (Pages 195–209)
A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys (Pages 211–231)
Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland (Pages 233–255)
Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression (Pages 257–275)
Back Matter
fuzzy set approach to multidimensional poverty
fuzzy set approach to multidimensional poverty measurement
what is fuzzy set qualitative comparative analysis
multidimensionally poor
fuzzy neighbourhood
r fuzzy clustering
Tags: Achille A Lemmi, Gianni Betti, Fuzzy, Multidimensional