Building Additive Utilities in the Presence of Non-Monotonic Preferences
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Ordinal regression is used for modelling the problem of multiattribute choice in the presence of non-monotonic preferences. The main model presented in this paper estimates an additive utility function with non-monotonic partial utilities by analysing some ordinal inter-alternative information provided by the decision maker. Then the model is extended to fit in special conditions where intensity-of-preference information is available or concavity of the utility model is required.
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