Using Aggregation Functions for Measuring Social Inequality and Poverty

Poverty reduction is without doubt a goal of development policy in most countries. To evaluate the evolution of poverty over time in some particular region, the differences of poverty across different countries or the effect of different policies in the alleviation of poverty, one should be first able to measure poverty.

[1]  A. Sen,et al.  Issues in the Measurement of Poverty , 1979 .

[2]  José Luis García-Lapresta,et al.  The Gini index and the consistent measurement of inequality among the poor , 2011, EUSFLAT Conf..

[3]  Noriyuki Takayama,et al.  Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered , 1979 .

[4]  A. Sen,et al.  Poverty: An Ordinal Approach to Measurement , 1976 .

[5]  Oihana Aristondo,et al.  A New Multiplicative Decomposition for the Foster–Greer–Thorbecke Poverty Indices , 2010 .

[6]  N. Kakwani,et al.  Inequality, Welfare And Poverty: Three Interrelated Phenomena , 1999 .

[7]  Satya R. Chakravarty,et al.  Inequality, Polarization and Poverty: Advances in Distributional Analysis , 2009 .

[8]  Dominique Thon,et al.  On Measuring Poverty , 1979 .

[9]  N. Kakwani On a Class of Poverty Measures , 1980 .

[10]  R. Mesiar,et al.  Aggregation operators: new trends and applications , 2002 .

[11]  R. Mesiar,et al.  ”Aggregation Functions”, Cambridge University Press , 2008, 2008 6th International Symposium on Intelligent Systems and Informatics.

[12]  Bernard De Baets,et al.  Representation and construction of self-dual aggregation operators , 2007, Eur. J. Oper. Res..

[13]  Lars Osberg,et al.  The Social Welfare Implications, Decomposability, and Geometry of the Sen Family of Poverty Indices , 2002 .

[14]  José Luis García-Lapresta,et al.  The self-dual core and the anti-self-dual remainder of an aggregation operator , 2008, Fuzzy Sets Syst..

[15]  R. Mesiar,et al.  Aggregation operators: properties, classes and construction methods , 2002 .

[16]  O. Attanasio,et al.  Differential Mortality and Wealth Accumulation , 1995 .

[17]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[18]  C. Gini Variabilita e Mutabilita. , 1913 .

[19]  Amartya Sen,et al.  Handbook of Income Inequality Measurement , 1999 .

[20]  José Luis García-Lapresta,et al.  A Class of Poverty Measures Induced by the Dual Decomposition of Aggregation Functions , 2010, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[21]  Wil Thissen Investigations into the World3 Model: Lessons for Understanding Complicated Models , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[22]  A. Shorrocks,et al.  Revisiting the Sen Poverty Index , 1995 .

[23]  Buhong Zheng,et al.  On the consistent measurement of attainment and shortfall inequality. , 2011, Journal of health economics.

[24]  Lars Osberg,et al.  International comparisons of Poverty Intensity: Index Decomposition and Bootstrap Inference , 2000 .

[25]  Gleb Beliakov,et al.  Aggregation Functions: A Guide for Practitioners , 2007, Studies in Fuzziness and Soft Computing.

[26]  D. Ulph,et al.  On Indices for the Measurement of Poverty , 1981 .

[27]  Marc Roubens,et al.  Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.

[28]  Satya R. Chakravarty,et al.  Inequality, Polarization and Poverty , 2009 .