Título GENERATING ARTIFICIAL POPULATIONS USING A MULTI-LEVEL FUZZY INFERENCE ENGINE
Autores GARCÍA ALONSO, CARLOS, PÉREZ ALCALÁ, GABRIEL MARÍA, IEEE, GARCÍA ALONSO, CARLOS, PÉREZ ALCALÁ, GABRIEL MARÍA
Publicación externa No
Medio 2008 Winter Simulation Conference, Vols 1-5
Alcance Proceedings Paper
Naturaleza Científica
Ámbito Internacional
Fecha de publicacion 01/01/2008
ISI 000274496201136
DOI 10.1109/WSC.2008.4736400
Abstract The design of complex artificial populations is the first step in simulating evolution during the time span of socio-economic 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 mortality in an artificial population. The model is based on three main databases that describe the characteristics of the environment, individuals and mechanisms (mortality). These expert-based characteristics guide the simulation model which has a fuzzy inference engine to evaluate fuzzy dependence relationships. These relationships have been formulated to automatically determine complex environmental and individual characteristics as well as mechanism parameters, and they are based on expert knowledge. An artificial population has been designed with satisfactory results when critical design factors are carefully adjusted.
Miembros de la Universidad Loyola

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