Abstract
In the article, the method of staged clarification of a choice model depending on decision maker’ (DM) preferences is proposed. The method consists of several stages. At the first stage, the DM specifies an alternative that is best by its opinion. This information is used to detect a set of criteria defining the Pareto set that includes the specified alternative. At the next stage, the DM clarifies one-dimensional utility functions that have automatically been created for criteria, specifying the risk propensity or aversion. Basing on this information, the generalizing function and weight vector are selecting in order to the specified by DM alternative will be first in the resulting rating. At the last stage, if there is information about preferences on a set of alternatives, the one-dimensional utility functions are parametrized in the way that object ranks be in concordance with the specified preferences.
The studies were carried out with the financial support of the RFBR grant No. 17-01-00139, No. 19-08-00989 within the framework of the budget theme No. 0073-2019-0004.
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Mikoni, S.V., Burakov, D.P. (2020). Parametrization of Functions in Multiattribute Utility Model According to Decision Maker’ Preferences. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_31
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