A weighted product method for bidding strategies in multi-attribute auctions
文献类型:期刊论文
作者 | Wang, Mingxi1,2; Liu, Shulin2; Wang, Shouyang1![]() |
刊名 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
![]() |
出版日期 | 2010-02-01 |
卷号 | 23期号:1页码:194-208 |
关键词 | Bidding strategy multi-attribute auctions weighted product method winner determination protocol |
ISSN号 | 1009-6124 |
DOI | 10.1007/s11424-010-9337-5 |
英文摘要 | 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. |
WOS研究方向 | Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000274950400015 |
出版者 | SPRINGER |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/10062] ![]() |
专题 | 系统科学研究所 |
通讯作者 | Wang, Mingxi |
作者单位 | 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 |
推荐引用方式 GB/T 7714 | Wang, Mingxi,Liu, Shulin,Wang, Shouyang,et al. A weighted product method for bidding strategies in multi-attribute auctions[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(1):194-208. |
APA | Wang, Mingxi,Liu, Shulin,Wang, Shouyang,&Lai, Kin Keung.(2010).A weighted product method for bidding strategies in multi-attribute auctions.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,23(1),194-208. |
MLA | Wang, Mingxi,et al."A weighted product method for bidding strategies in multi-attribute auctions".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 23.1(2010):194-208. |
入库方式: OAI收割
来源:数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。