Abstract
This chapter introduces a potentially profitable addition to the methods used by present-day Spatial Decision Support Systems (SDSS). It is best described as a Decision Aiding System (DAS). It predicts how different sorts of people will score different scenarios being evaluated for any problem. The first section speculates why most current SDSS researchers have, so far, failed to address this vital preference prediction part of the decision-support process. Subsequent sections then clarify the DAS’ mechanisms using a real-world spatial planning case study. The conclusion is reached that the DAS has exciting potential for increasing SDSS’ level of community consciousness, especially in the future when it morphs into an Internet-based application, thereby enabling it to ‘learn’ decisionmaking priorities from a broader cross-section of users.
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Wyatt, R. (2008). A Decision Aiding System for Predicting People‘s Scenario Preferences. In: Pettit, C., Cartwright, W., Bishop, I., Lowell, K., Pullar, D., Duncan, D. (eds) Landscape Analysis and Visualisation. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69168-6_16
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DOI: https://doi.org/10.1007/978-3-540-69168-6_16
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