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Fuzzy Set Approach to Multidimensional Poverty Measurement

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Cover of 'Fuzzy Set Approach to Multidimensional Poverty Measurement'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality
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    Chapter 3 The Mathematical Framework of Fuzzy Logic
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    Chapter 4 An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets
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    Chapter 5 On the Convergence of Various Unidimensional Approaches
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    Chapter 6 Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues
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    Chapter 7 Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach
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    Chapter 8 French Poverty Measures using Fuzzy Set Approaches
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    Chapter 9 The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel
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    Chapter 10 Multidimensional Fuzzy Set Approach Poverty Estimates in Romania
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    Chapter 11 Multidimensional and Fuzzy Poverty in Switzerland
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    Chapter 12 A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys
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    Chapter 13 Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland
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    Chapter 14 Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression
Attention for Chapter 11: Multidimensional and Fuzzy Poverty in Switzerland
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Chapter title
Multidimensional and Fuzzy Poverty in Switzerland
Chapter number 11
Book title
Fuzzy Set Approach to Multidimensional Poverty Measurement
Published by
Springer, Boston, MA , January 2006
DOI 10.1007/978-0-387-34251-1_11
Book ISBNs
978-0-387-34249-8, 978-0-387-34251-1
Authors

David Miceli, Miceli, David

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 100%

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