Multiple-issue auction and market algorithms for the World W0ide Web
Decision Support Systems
An experimental analysis of multi-attribute auctions
Decision Support Systems
The Future of Emarkets: Multi-Dimensional Market Mechanisms
The Future of Emarkets: Multi-Dimensional Market Mechanisms
Electronic Commerce Research
Management Science
Managing Online Auctions: Current Business and Research Issues
Management Science
Bidding in sealed-bid and English multi-attribute auctions
Decision Support Systems
The Landscape of Electronic Market Design
Management Science
Models for Iterative Multiattribute Procurement Auctions
Management Science
Supply Auctions and Relational Contracts for Procurement
Manufacturing & Service Operations Management
A unified framework for multiple criteria auction mechanisms
Web Intelligence and Agent Systems
Solving a sealed-bid reverse auction problem by multiple-criterion decision-making methods
Computers & Mathematics with Applications
Multiple Sourcing and Procurement Process Selection with Bidding Events
Management Science
Auction Advisor: an agent-based online-auction decision support system
Decision Support Systems
Ex Ante Information and the Design of Keyword Auctions
Information Systems Research
Information revelation in multiattribute English auctions: A laboratory study
Decision Support Systems
A multidimensional procurement auction for trading composite services
Electronic Commerce Research and Applications
Automatic price negotiation on the web: An agent-based web application using fuzzy expert system
Expert Systems with Applications: An International Journal
An interactive approach for multi-attribute auctions
Decision Support Systems
An efficient reverse auction mechanism for limited supplier base
Electronic Commerce Research and Applications
Design of online auctions: Proxy versus non-proxy settings
Decision Support Systems
Journal of Management Information Systems
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Multi-attribute auctions have become increasingly popular in enterprise procurement. In the auctions, the elicitation of the preference of an auctioneer concerning multiple attributes is a central task in determining the winner(s). Considering the difficulty of explicit elicitation, a preference elicitation framework is proposed to assist the auctioneer in inferring his/her underlying preference model(s). The auctioneer is expected to provide the information of attribute weights, the holistic preference relations concerning a set of reference bids and the comparison information of intensities of preferences between some pairs of bids on all attributes and/or a particular attribute. Based on this information, a linear programming model is constructed to infer the preference model(s) of the auctioneer so that the estimations are as consistent as possible with the given preference statements. Furthermore, a method is also given to select a representative preference model from the set of compatible ones. The framework is implemented by an intelligent buyer agent called e-buyer which has five main components, i.e., a semantic analyzer, a preference elicitation module, a bid evaluation module, a model base, and a database. The e-buyer is embedded into an auction intermediary, and the proposed preference elicitation models are stored in the model base. Several graphical user interfaces are also presented to visualize the future trading intermediaries. Finally, a numerical example is given to illustrate the framework and show the effectiveness of the preference elicitation models.