摘要：Poverty and socioeconomic development go in opposite directions, the greater a population poverty rate is, the lower is the level of socioeconomic development. This paper seeks to set poverty to capture vulnerabilities. The objective of this paper is to create a multidimensional poverty indicator for the Brazilian metropolitan areas of in the year 2011, using data from the PNAD (National Survey by Household Sampling) and as a methodology, Fuzzy Sets theory (TFS). Poverty is divided into three dimensions: income, education and household infrastructure, and the education showed the largest number of poor, followed by income and the infrastructure, in that order. The poorest metropolitan areas are located in the North and Northeast Brazil, supporting the 2010 Demographic Census information held by the Brazilian Institute of Geography and Statistics (IBGE), which says that 60% of the Brazilian poor people lived in the Northeast that year.
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