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. © 2010 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Ghavamifar, F., Sadaoui, S., & Mouhoub, M. (2010). Winner determination based on preference elicitation methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6085 LNAI, pp. 332–335). https://doi.org/10.1007/978-3-642-13059-5_40
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
