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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics and 5th International Conference on Information Systems Analysis and Synthesis Vol.8: Concepts and applications of Systemics, Cybernetics and Informatics, Jul 31-Aug 4, 1999, Orlando, Flor >MEASUREMENT AND ANALYSIS OF POVERTY AND WELFARE USING FUZZY SETS
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MEASUREMENT AND ANALYSIS OF POVERTY AND WELFARE USING FUZZY SETS

机译：基于模糊集的贫困与福利测度与分析

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摘要

This paper studies the welfare and poverty in Paraguayan conurbations. It comprises the analysis of a) relative and absolute monetary poverty and welfare, b) poverty and welfare measured through physical indicators, and c) the definition and measurement of welfare and poverty as fuzzy sets. Typical poverty indices are used, making an adaptation to proper define and measure welfare, as a dual concept of poverty. However, these classical definitions have several difficulties that are overcome by introducing fuzzy definitions of poverty and welfare in an n-dimensional vector space. The new definition of welfare and poverty as fuzzy sets conveys a new approach in the effort to better represent linguistic variables that are intrinsically fuzzy. Statistical data presented in this work were taken from a Paraguayan Household Budget Survey made in 1996.
机译：本文研究了巴拉圭城市居民的福利和贫困。它包括以下方面的分析：a）相对和绝对的货币贫困与福利，b）通过有形指标衡量的贫困与福利，以及c）福利与贫困的定义和度量为模糊集。使用典型的贫困指数作为对贫困的双重概念，以适应适当的定义和衡量福利。但是，这些经典定义有几个困难，可以通过在n维向量空间中引入贫困和福利的模糊定义来克服。福利和贫困作为模糊集的新定义传达了一种新方法，以更好地表示本质上模糊的语言变量。这项工作中提供的统计数据取自1996年进行的巴拉圭家庭预算调查。

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