An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets
Satya Chakravarty
A chapter in Poverty, Social Exclusion and Stochastic Dominance, 2019, pp 123-141 from Springer
Abstract:
Abstract Often it may be difficult to judge the poverty/deprivation status of a person in a dimension of human wellbeing. An appropriate technique to evaluate poverty in such a situation is fuzzy set theory. This paper develops an axiomatic approach to the measurement of multidimensional poverty in a fuzzy set up. Rigorous discussion on a fuzzy membership function that determines the poverty position of a person in a dimension is presented. Fuzzy translations of multidimensional poverty axioms are formulated and analyzed with perfections. Fuzzy counterparts of several multidimensional poverty indices are suggested.
Keywords: Multidimensional poverty; Fuzzy set approach; Membership function; Axioms; Indices; Characterization (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (3)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Chapter: An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:thechp:978-981-13-3432-0_9
Ordering information: This item can be ordered from
http://www.springer.com/9789811334320
DOI: 10.1007/978-981-13-3432-0_9
Access Statistics for this chapter
More chapters in Themes in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().