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- W2095937490 abstract "Given a ranking of actions evaluated by a set of evaluation criteria, we construct a rough approximation of the preference relation known from this ranking. The rough approximation of the preference relation is a starting point for mining if... then decision rules constituting a symbolic preference model. The set of rules is induced such as to be compatible with a concordance-discordance preference model used in well-known multicriteria decision aiding methods. An application of the set of decision rules to a new set of actions gives a fuzzy outranking graph. Positive and negative flows are calculated for each action in the graph, giving arguments about its strength and weakness. Aggregation of both arguments leads to a final ranking, either partial or complete. The approach can be applied to support a multicriteria choice and ranking of actions when the input information is a ranking of some reference actions." @default.
- W2095937490 created "2016-06-24" @default.
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- W2095937490 date "2003-06-25" @default.
- W2095937490 modified "2023-09-26" @default.
- W2095937490 title "Mining decision-rule preference model from rough approximation of preference relation" @default.
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- W2095937490 doi "https://doi.org/10.1109/cmpsac.2002.1045163" @default.
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