Winner determination based on preference elicitation methods

Authors:
Farnaz Ghavamifar;Samira Sadaoui;Malek Mouhoub
Affiliations:
Department of Computer Science, University of Regina, Canada;Department of Computer Science, University of Regina, Canada;Department of Computer Science, University of Regina, Canada
Venue:
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Year:
2010

Citing 2
Cited 0

An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process

Management Science
CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Journal of Artificial Intelligence Research

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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.