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oai:docta.ucm.es:20.500.14352/531642024-11-26T14:59:24Zcom_20.500.14352_14col_20.500.14352_21

A spatial classification model for multicriteria analysis Del Amo, Ana Garmendia Salvador, Luis Gómez González, Daniel Montero De Juan, Francisco Javier 004.8 Computer Science Artificial Intelligence Inteligencia artificial (Informática) 1203.04 Inteligencia Artificial 1st IEEE Symposium of Computational Intelligence in Multicriteria Decision Making APR 01-05, 2007 This paper stresses that standard multicriteria aggregation procedures either do not assume any structure in data or this structure is in fact assumed linear. Nevertheless, many decision making problems are based upon a family of data with a well defined spatial structure, which is simply not taken into account. Hence, such aggregation procedures may be misleading. Therefore, we propose an alternative model where the aggregation of criteria assumes a certain structure, according to remote sensing data. Depto. de Estadística e Investigación Operativa Fac. de Ciencias Matemáticas TRUE pub 2023-06-20T13:38:32Z 2023-06-20T13:38:32Z 2007 book part https://hdl.handle.net/20.500.14352/53164 XXXX-XXXX 10.1109/MCDM.2007.369112 eng IEE monograph series TIN2006-06190 restricted access application/pdf IEEE