空间多准则决策中的加权OWA算子

Soheil Boroushaki
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引用次数: 1

摘要

摘要:本文提出了一种基于gis的多准则决策分析(MCDA)中的加权有序加权平均(WOWA)算法。传统的OWA程序没有考虑到决策评估标准的不同相对重要性。本研究通过实现一种特殊的加权OWA (WOWA)算子,将传统的OWA与空间决策环境中的加权线性组合(WLC)技术结合起来,重点研究了将标准权重聚合到OWA算子中的过程。然后,本文展示了WOWA在基于向量的空间问题中的应用,用于识别洛杉矶圣费尔南多谷的弱势社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted OWA Operators in Spatial MultiCriteria Decision-Making
ABSTRACT:This paper presents an implementation of a Weighted Ordered Weighted Averaging (WOWA) algorithm within a GIS-based multicriteria decision analysis (MCDA). Conventional OWA procedures do not account for varied relative importances of the decision evaluation criteria. This research focuses on the procedure for aggregating criteria-weights into OWA operators by implementing a special Weighted OWA (WOWA) operator that unifies conventional OWA with Weighted Linear Combination (WLC) techniques within a spatial decision context. The paper then demonstrates the application of WOWA within a vector-based spatial problem for identifying Disadvantaged Communities within San Fernando Valley, Los Angeles.
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