Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis |
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Authors: | Arika Ligmann-Zielinska Piotr Jankowski |
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Institution: | (1) Department of Geography and Environmental Science and Policy Program, Michigan State University, 130 Geography Bldg, East Lansing, MI 48824-1117, USA;(2) Department of Geography, San Diego State University, San Diego, CA, USA |
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Abstract: | 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. |
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Keywords: | |
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