多准则分析的空间分类模型

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making Pub Date : 2007-04-01 DOI:10.1109/MCDM.2007.369112

A. D. Amo, L. Garmendia, D. Gómez, J. Montero

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引用次数: 2

摘要

本文强调，标准的多准则聚合过程要么不假设数据中有任何结构，要么实际上假设这种结构是线性的。然而，许多决策问题是基于一组具有良好空间结构的数据，而根本没有考虑到这一点。因此，这种聚合过程可能具有误导性。因此，根据遥感数据，我们提出了一种替代模型，其中标准的聚合假设具有一定的结构

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A Spatial Classification Model for Multicriteria Analysis

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

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2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making

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