Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making
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In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTAGMS-GROUP and UTADISGMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.
KeywordsGroup decision Robust ordinal regression Additive value function Representative value function Compromise
The first and the third authors wish to acknowledge financial support from the Polish Ministry of Science and Higher Education, grant no. N N519 441939.
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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