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oai:gredos.usal.es:10366/1343492025-04-30T20:37:13Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243

00925njm 22002777a 4500 dc Muñoz Vicente, María Dolores author Mata Conde, Aitor author Corchado Rodríguez, Emilio Santiago author Corchado Rodríguez, Juan Manuel author 2013 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. Expert Systems with Applications. Volumen 40 (12), pp. 5011-5020. Elsevier BV. 0957-4174 (Print) http://hdl.handle.net/10366/134349 Computer Science (OBIFS) isotropic image analysis for improving a predicting agent based systems