• Title of article

    (OBIFS) isotropic image analysis for improving a predicting agent based systems

  • Author/Authors

    Dolores Muٌoz، نويسنده , , M. and Mata، نويسنده , , Aitor and Corchado، نويسنده , , Emilio S. Corchado، نويسنده , , Juan Manuel، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    5011
  • To page
    5020
  • Abstract
    In this interdisciplinary study a novel hybrid forecasting system is presented, in which an isotropic buffer operator is applied for case-based creation within the structure of the organization-based multi-agent system. Commonly used as an image analysis technique by commercial Geographic Information Systems (GIS), the buffer operator in this particular system calculates the area of a forest fire for prediction and visualization tasks. The use of the buffer operator improves the quality of the data used by the system and in consequence the quality of the results obtained. The system has been successfully tested using real historical data on forest fires evolution, by generating accurate predictions.
  • Keywords
    Organization-based system , hybrid intelligent systems , Forest fires , Isotropic image analysis
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2013
  • Journal title
    Expert Systems with Applications
  • Record number

    2353747