Calculation of the socioeconomic stratification of Chilean Homes using Fuzzy Logic

It is known that the sociodemographic distribution of the population responds to the circumstances that allow adapting to the own environment of the individuals. In market research, therefore, it is necessary to know this socioeconomic stratification and to apply an appropriate methodology to measure it. The objective of this article paper is to solve this focus, relating three of the set of variables involved in obtaining an appropriate classification of households. The methodology applied in this case, fuzzy logic based, since the various methods of classification exist, can deliver different results to the same type of housing, therefore, and do not contain both input and output variables in both behaviour discrete or fixed. The results presented on the basis of three concrete examples, with different particularity, allowed a better and correct approximation of the incident variables since the combination of them is more just that the conventional models. These examples focused mainly on the levels of medium high, medium and medium low stratification, with scores higher than five hundred points (arbitrarily established from zero to one thousand).

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Felipe Gutiérrez Cerda

Felipe Gutiérrez Cerda is a researcher, and transport engineer from from Pontifical Catholic University of Valparaíso since 2005, and also is a graduate of Magister on same area and University since 2017.

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