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Fuzzy techniques for multiple criteria decision making in GIS

机译:GIS中多准则决策的模糊技术

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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 of 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)的基本功能。 GIS开发最丰富的领域之一是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将MCDM的布尔技术与空间对象(特征)的清晰表示形式结合使用,以生成静态地图作为查询答案。本文研究了一个原型系统FOOSBALL,该系统通过实现以下方法解决了这些系统的许多固有缺陷:1)模糊集隶属度作为一种表示评估标准中决策备选方案性能的方法; 2)用于标准加权和捕获地理偏好的模糊方法; 3)用于特征存储的面向对象的模糊空间数据库。这样就可以更精确地存储和直观地显示查询结果。所有这些增强的最终结果是为空间决策者提供更多信息,从而使他们的决策更加明智,从而更加正确。

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