A weighted product method for bidding strategies in multi-attribute auctions

被引：29
|
作者：
Wang, Mingxi [1 ,2 ]
Liu, Shulin [2 ]
Wang, Shouyang [1 ]
Lai, Kin Keung [3 ]
机构：
[1] Chinese Acad Sci, Acad Math & Syst Sci, MADIS, Beijing 100190, Peoples R China
[2] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
[3] City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
来源：
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY | 2010年 / 23卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Bidding strategy; multi-attribute auctions; weighted product method; winner determination protocol; MULTIDIMENSIONAL AUCTIONS; DESIGN;
D O I：
10.1007/s11424-010-9337-5
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
To eliminate computational problems involved in evaluating multi-attribute bids with different measures, this article first normalizes each individual component of a bid, and then makes use of the weighted product method to present a new scoring function that converts each bid into a score. Two kinds of multi-attribute auction models are introduced in terms of scoring rules and bidding objective functions. Equilibrium bidding strategies, procurer's revenue comparisons and optimal auction design are characterized in these two models. Finally, this article discusses some improvement of robustness of our models, with respect to the assumptions.
引用
收藏
页码：194 / 208
页数：15
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