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A spatial classification model for multicriteria analysis

dc.book.title2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making
dc.contributor.authorDel Amo, Ana
dc.contributor.authorGarmendia Salvador, Luis
dc.contributor.authorGómez González, Daniel
dc.contributor.authorMontero De Juan, Francisco Javier
dc.date.accessioned2023-06-20T13:38:32Z
dc.date.available2023-06-20T13:38:32Z
dc.date.issued2007
dc.description1st IEEE Symposium of Computational Intelligence in Multicriteria Decision Making APR 01-05, 2007
dc.description.abstractThis 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.en
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/16935
dc.identifier.doi10.1109/MCDM.2007.369112
dc.identifier.isbn978-1-4244-0702-6
dc.identifier.officialurlhttps//doi.org/10.1109/MCDM.2007.369112
dc.identifier.relatedurlhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4223027
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53164
dc.language.isoeng
dc.page.final353
dc.page.initial348
dc.publication.placeHonolulu, HI
dc.publisherIEEE
dc.relation.ispartofseriesIEE monograph series
dc.relation.projectIDTIN2006-06190
dc.rights.accessRightsrestricted access
dc.subject.cdu004.8
dc.subject.keywordComputer Science
dc.subject.keywordArtificial Intelligence
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleA spatial classification model for multicriteria analysisen
dc.typebook part
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