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Dominance Relation Based Ranking Procedure for Automated Reverse Auctions
in 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, Online, 13-20 December, 2021 University of Salerno 2022 - Ref. 10.1007/978-3-030-98531-8_14 - 137-145 p.
"Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary
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preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort."
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