A soft computing-based approach to spatio-temporal prediction

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@Article{Schultz2008,
  author =       "Rubia E. O. Schultz and Tania M. Centeno and 
                 Gilles Selleron and Myriam R. Delgado",
  title =        "A soft computing-based approach to spatio-temporal
                 prediction",
  journal =      "International Journal of Approximate Reasoning",
  year =         "2009",
  volume =       "50",
  number =       "1",
  pages =        "3--20",
  month =        jan,
  ISSN =         "0888-613X",
  DOI =          "doi:10.1016/j.ijar.2008.01.010",
  URL =          "http://www.sciencedirect.com/science/article/B6V07-4S33N56-1/2/1ee4965901cb13c0b9ba1fe773123e54",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0888-613X",
  abstract =     "This paper aims to incorporate intelligent mechanisms
                 based on Soft Computing in Geographical Information
                 Systems (GIS). The proposal here is to present a
                 spatio-temporal prediction method of forestry evolution
                 for a sequence of binary images by means of fuzzy
                 inference systems (FIS), genetic algorithm (GA) and
                 genetic programming (GP). The main inference is based
                 on a fuzzy system which processes a set of crisp/fuzzy
                 relations and infers a crisp relation representing the
                 predicted image at a predefined date. The fuzzy system
                 is formed by a fixed fuzzy rule base and a partition
                 set that may be defined by an expert or optimized by
                 means of a GA. Genetic programming may also be adopted
                 to generate the size of predicted area used in the
                 final stage of the inference process. The developed
                 methodology is applied in regions of Venezuela, France
                 and Guatemala to identify their forestry evolution
                 trends. The proposed approaches are compared with other
                 techniques to validate the system.",
  notes =        "Special Section on Recent advances in soft computing
                 in image processing and Special Section on Selected
                 papers from NAFIPS 2006",
}

Genetic Programming entries for Rubia Eliza de Oliveira Schultz Ascari Tania M Centeno Gilles Selleron Myriam Regattieri De Biase da Silva Delgado

Citations