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Poverty Lines Based on Fuzzy Sets Theory and its Application to Malaysian Data

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  • Lazim Abdullah

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  • Lazim Abdullah, 2011. "Poverty Lines Based on Fuzzy Sets Theory and its Application to Malaysian Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(1), pages 117-127, October.
    • Handle: RePEc:spr:soinre:v:104:y:2011:i:1:p:117-127
    DOI: 10.1007/s11205-010-9730-4
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    References listed on IDEAS

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    1. Udaya Wagle, 2007. "Poverty in Kathmandu: What do subjective and objective economic welfare concepts suggest?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 73-95, April.
    2. Mina Baliamoune-Lutz, 2004. "On the Measurement of Human Well-being: Fuzzy Set Theory and Sen's Capability Approach," WIDER Working Paper Series RP2004-16, World Institute for Development Economic Research (UNU-WIDER).
    3. Sara Lelli, 2001. "Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach," Public Economics Working Paper Series ces0121, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    4. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    5. Mina Baliamoune, 2000. "Economics of Summitry: An Empirical Assessment of the Economic Effects of Summits," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(3), pages 295-319, September.
    6. Van Praag, Bernard, 1971. "The welfare function of income in Belgium: An empirical investigation," European Economic Review, Elsevier, vol. 11(3), pages 337-369.
    7. Mozaffar Qizilbash, 2006. "Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Achille Lemmi & Gianni Betti (ed.), Fuzzy Set Approach to Multidimensional Poverty Measurement, chapter 1, pages 9-28, Springer.
    8. John Iceland, 2003. "Why poverty remains high: The role of income growth, economic inequality, and changes in family structure, 1949–1999," Demography, Springer;Population Association of America (PAA), vol. 40(3), pages 499-519, August.
    9. Achille Lemmi & Gianni Betti (ed.), 2006. "Fuzzy Set Approach to Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-34251-1, November.
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    Cited by:

    1. Noor Hidayah Zakaria & Rohayanti Hassan & Muhamad Razib Othman & Zalmiyah Zakaria & Shahreen Kasim, 2017. "A Review on Classification of the Urban Poverty Using the Artificial Intelligence Method," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 7(11), pages 450-458, November.
    2. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2021. "Estimating poverty and vulnerability to monetary and non-monetary poverty: the case of Vietnam," Empirical Economics, Springer, vol. 61(6), pages 3125-3177, December.

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