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dc.contributor.authorMuñoz Vicente, María Dolores 
dc.contributor.authorMata Conde, Aitor
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T11:01:21Z
dc.date.available2017-09-05T11:01:21Z
dc.date.issued2013
dc.identifier.citationExpert Systems with Applications. Volumen 40 (12), pp. 5011-5020. Elsevier BV.
dc.identifier.issn0957-4174 (Print)
dc.identifier.urihttp://hdl.handle.net/10366/134349
dc.description.abstractIn 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevier BV
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.title(OBIFS) isotropic image analysis for improving a predicting agent based systems
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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