Chapter

Advances in Artificial Intelligence

Volume 6085 of the series Lecture Notes in Computer Science pp 332-335

Winner Determination Based on Preference Elicitation Methods

  • Farnaz GhavamifarAffiliated withDepartment of Computer Science, University of Regina
  • , Samira SadaouiAffiliated withDepartment of Computer Science, University of Regina
  • , Malek MouhoubAffiliated withDepartment of Computer Science, University of Regina

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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.

Keywords

Winner Determination Problem Multi-Attribute Utility Theory Multi-Attribute Auctions CP-nets