Fuzzy model for municipalities classification in the state of hidalgo in Mexico

  • Authors:
  • Amaury Caballero;Kang Yen;Miriam Alvarez;Gilberto Perez-Lechuga

  • Affiliations:
  • Florida International University;Florida International University;Universidad Estatal Autónoma del Estado de Hidalgo, Mexico;Universidad Estatal Autónoma del Estado de Hidalgo, Mexico

  • Venue:
  • SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
  • Year:
  • 2006

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Abstract

The state of hidalgo, in Mexico, is looking for a model to classify 84 municipalities according to certain economic and social parameters. The model will permit the development of policies for improving the conditions of those municipalities that are lagging behind. A previous databases looks more practical, but the classical SQL methodology using crisp qualifiers causes difficulties in some decision making processes especially when it is mandatory to move to the definition of practical indicators or categories and to evaluate them according to certain practical assumptions. Recently fuzzy logic has been embedded in SQL to improve its performance. In this paper, we use a Fuzzy model for solving the stated problem. The result is compared with that from previous study with statistics method.