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math.OC2006
From Incomplete Preferences to Ranking via Optimization
Pavel Chebotarev, Elena Shamis
We consider methods for aggregating preferences that are based on the resolution of discrete optimization problems. The preferences are represented by arbitrary binary relations (p…
math.OC2006★ 15 cited
Characterizations of scoring methods for preference aggregation
Pavel Chebotarev, Elena Shamis
The paper surveys more than forty characterizations of scoring methods for preference aggregation and contains one new result. A general scoring operator is {\it self-consistent} i…