Amo, Ana del and Garmendia, Luis and Gómez, D. and Montero, Javier (2007) A spatial classification model for multicriteria analysis. In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making. IEE monograph series . IEEE, Honolulu, HI, pp. 348-353. ISBN 978-1-4244-0702-6
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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.
|Item Type:||Book Section|
1st IEEE Symposium of Computational Intelligence in Multicriteria Decision Making
|Uncontrolled Keywords:||Computer Science; Artificial Intelligence|
|Subjects:||Sciences > Computer science > Artificial intelligence|
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Proceedings of the 2007 IEEE Symposium on Computational
Intelligence in Multicriteria Decision Making (MCDM 2007)
|Deposited On:||30 Oct 2012 09:03|
|Last Modified:||18 Apr 2016 15:22|
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