The robustness analysis is a substantial and debatable issue in the multi-criteria decision support systems. The multi-criteria decision support systems always depend on preference information from a decision maker. Although it is evident that elicited preference information has a great impact on the result, research on the preference robustness in multi-criteria decision support system rather narrow in contrast to the well-established research robust decision making. This paper focuses on the multi-criteria decision support systems based on the multiple criteria sorting methods. The paper proposes an analyzing approach based on the concept of the preference robustness. The approach involved in the multi-criteria decision support system can provide valuable insight to a decision maker on how preferences influence the choice among alternatives. Moreover, the approach can be combined with other decision aiding methods as an additional technique for deriving a consensus when there are multiple preferences.
CITATION STYLE
Kalinina, M. (2015). Multi criteria decision support system: Preference information and robustness. In Advances in Intelligent Systems and Computing (Vol. 353, pp. 641–651). Springer Verlag. https://doi.org/10.1007/978-3-319-16486-1_63
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