Abstract
Multi-Attribute Reverse Auction (MARA) is widely used in modern electronic procurement systems. However, eliciting the buyer’s preferences and determining the winner are challenging tasks for MARA systems. In this paper, we study and extend two methods, the Multi-Attribute Utility Theory and constrained CP-nets, for solving the winner determination problem in MARA. Thanks to the proposed extensions, the buyer can now express conditional preferences over the product attributes. In addition, he can submit his preferences qualitatively or quantitatively. In this way, we provide the buyers with more flexibility in the specification of their purchasing requests.
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Ghavamifar, F., Sadaoui, S., Mouhoub, M. (2010). Winner Determination Based on Preference Elicitation Methods. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_40
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DOI: https://doi.org/10.1007/978-3-642-13059-5_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13058-8
Online ISBN: 978-3-642-13059-5
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