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Fuzzy techniques for multiple criteria decision making in GIS

机译:GIS中多标准决策的模糊技术

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Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static maps as query answers. This paper examines a prototype system, FOOSBALL, which addresses many of the inherent weaknesses of these systems by implementing: 1) fuzzy set membership as a method for representing the performance 0 f decision alternatives on evaluation criteria, 2) fuzzy methods for both criteria weighting and capturing geographic preferences, and 3) a fuzzy object oriented spatial database for feature storage. This makes it possible to both store and visually represent query results more precisely. The end result of all of these enhancements is to provide spatial decision makers with more information so that their decisions will be more informed, and thus, more correct.
机译:空间决策是当代地理信息系统(GIS)的根本功能。最肥沃的GIS开发领域之一正在将多个标准决策模型(MCDM)集成到GIS查询机制中。这种集成的经典方法是使用MCDM的布尔技术,其中包含空间对象(功能)的清晰表示,以产生静态地图作为查询答案。本文介绍了一种原型系统,FOOSBALL,通过实现:1)模糊集成员资格作为表示评估标准的性能0 F决策替代方案的方法,这是两个标准加权的模糊方法的方法并捕获地理偏好,以及3)用于功能存储的模糊面向对象的空间数据库。这使得两个存储和直观地表示查询结果更精确。所有这些增强功能的最终结果是提供更多信息的空间决策者,以便更加了解他们的决定,从而更正确。

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