Gabriel M. Perez-Alcala

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The design of complex artificial populations is the first step in simulating evolution during the time span of socioeconomic variables as the family income. In this paper, a new hybrid model based on Monte-Carlo simulation and fuzzy inference is described to design environmental conditions, the basic socio-economic structure and to determine the causes for(More)
A computer system based on Monte-Carlo simulation and fuzzy logic has been designed, developed and tested to: (i) identify covariates that influence remittances received in a specific country and (ii) explain their behavior throughout the time span involved. The resulting remittance model was designed theoretically , identifying the variables which(More)
This paper studies the evolution throughout the time span of those covariates that remittances depend on. Not only economical variables but also demographic, social and political ones have been taken into account in a Monte-Carlo-based simulation model. Expert knowledge was incorporated modeling fuzzy dependence relationships (DR) between covariates based(More)
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