Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis
Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis
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DOI：
10.1007/s10109-010-0140-6
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发表时间：
2012-04
影响因子：
2.9
通讯作者：
Arika Ligmann-Zielinska;P. Jankowski
中科院分区：
文献类型：
--
作者：
Arika Ligmann-Zielinska;P. Jankowski
本文提出了一种在地理多准则决策分析中获取评价标准偏好的新方法。在这种方法中，由数字权重表示的偏好，通过明确考虑位置结构而得出的距离度量来调整。该结构由决策选项和高重要性参考对象的位置给出。该方法以加利福尼亚州圣地亚哥的房屋选择案例研究为例进行了演示。结果表明，评价标准的接近性调整偏好可以显著改变决策选项的等级顺序。因此，为了更好地解释决策者的偏好，可能需要明确的空间偏好变异性建模。
This paper presents a new approach to deriving preferences assigned to evaluation criteria in geographical multicriteria decision analysis. In this approach, the preferences, expressed by numeric weights, are adjusted by distance measures derived from the explicit consideration of a locational structure. The structure is given by locations of decision options and high importance reference objects. The approach is demonstrated on the example of a house selection case study in San Diego, California. The results show that proximity-adjusted preferences for the evaluation criteria can alter significantly the rank order of decision options. Consequently, the explicit modeling of spatial preference variability may be needed in order to better account for decision-maker’s preferences.