Competitive Analysis of Multi-Attribute On-Line Auction
The emergence of auction that supports bids characterized by several attributes is one of the most recent evolutions within auction theory. The purpose of this paper is to introduce multi-attribute into the on-line auction mechanism, proposed by Lavi and Nisan. Our mechanism is designed for auctioning multiple units of a good when the bidders arrive and depart dynamically. To incorporate the buyer’s preferences across attributes in an auction setting, we adopt a novel application of a scoring function. Furthermore, we describe a competitive reservation utility strategy (RUS), which helps the buyer decide when and how many goods he should buy. Finally, we also perform numerical examples showing our results.
Helen Zhang, Gang Shen and David Jin
L. L. Ding et al., "Competitive Analysis of Multi-Attribute On-Line Auction", Advanced Materials Research, Vols. 204-210, pp. 205-208, 2011