TY - BOOK ID - 1628395 TI - Fuzzy set approach to multidimensional poverty measurement AU - Lemmi, Achille AU - Betti, Gianni PY - 2006 SN - 1280724439 9786610724437 0387342516 0387342494 1441941711 9780387342498 PB - New York Springer DB - UniCat KW - Poverty KW - Fuzzy sets KW - Measurement. KW - Data processing. KW - Sets, Fuzzy KW - Fuzzy mathematics KW - Set theory KW - Destitution KW - Wealth KW - Basic needs KW - Begging KW - Poor KW - Subsistence economy KW - Quantitative methods in social research KW - Social problems KW - Economic theory. KW - Distribution (Probability theory. KW - Social sciences KW - Economic Theory/Quantitative Economics/Mathematical Methods. KW - Probability Theory and Stochastic Processes. KW - Sociology, general. KW - Methodology of the Social Sciences. KW - Methodology. KW - Distribution functions KW - Frequency distribution KW - Characteristic functions KW - Probabilities KW - Economic theory KW - Political economy KW - Economic man KW - Economía KW - Conjuntos difusos KW - Investigación operativa KW - Análisis operativo KW - Operaciones, Investigación de KW - Ingeniería industrial KW - Sistemas, Teoría de KW - Conjuntos borrosos KW - Conjuntos, Teoría de KW - Lógica difusa KW - Aspectos económicos KW - Ciencias económicas KW - Doctrinas económicas KW - Economía política KW - Teoría económica KW - Teorías económicas KW - Doctrinas KW - Teoría KW - Teorías KW - Probabilities. KW - Sociology. KW - Social sciences. KW - Behavioral sciences KW - Human sciences KW - Sciences, Social KW - Social science KW - Social studies KW - Civilization KW - Social theory KW - Probability KW - Statistical inference KW - Combinations KW - Mathematics KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk UR - https://www.unicat.be/uniCat?func=search&query=sysid:1628395 AB - Recent theoretical and empirical studies have concluded that in order to be accurate, poverty and deprivation must be measured within a multidimensional framework that is consistent, efficient, and statistically robust. The fuzzy set approach to poverty measurement was developed in the early 1990s and continues to be refined by scholars of economics and sociology who find the traditional "monetary-only" indicators to be inadequate and arbitrary. This volume brings together advanced thinking on the multidimensional measurement of poverty, including 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. This book will be of interest to scholars and researchers and will be a useful text on poverty for advanced students in applied statistics, urban planning, economics, and sociology. Achille Lemmi is Professor of Economic Statistics at the University of Siena. His areas of interest and research include personal income distribution models, poverty and living conditions estimation and analysis, and poverty dynamics. Gianni Betti is Associate Professor of Economic Statistics at the University of Siena. His areas of interest and research include poverty and living conditions analysis, equivalence scales, small area estimation and poverty mapping. ER -