Title :
A Spatial Classification Model for Multicriteria Analysis
Author :
Del Amo, Ana ; Garmendia, Luis ; Gómez, Daniel ; Montero, Javier
Author_Institution :
Dept. of Mission Manage., Smiths Aerosp., Grand Rapids, MI
Abstract :
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 denned 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
Keywords :
decision making; operations research; pattern classification; decision making; multicriteria aggregation; remote sensing data; spatial classification model; Computational intelligence; Data mining; Decision making; Image analysis; Laser radar; Pixel; Remote sensing; Sensor systems; Smoothing methods; Stress;
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
DOI :
10.1109/MCDM.2007.369112
