Determining winner in multi-attribute procurement auction: a method based on technical and business experts' evaluation information

被引:8
|
作者
Gao, Guangxin [1 ]
Fan, Zhiping [1 ,2 ]
Liu, Yang [1 ]
机构
[1] Northeastern Univ, Sch Business Adm, Dept Informat Management & Decis Sci, Shenyang 110167, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
multi-attribute auction; winner determination; technical and business experts; bid evaluation; DECISION-MAKING; MULTIDIMENSIONAL AUCTIONS; MECHANISM; OPTIMIZATION; COMPETITION; SELECTION; SUPPORT; EVENTS; DESIGN;
D O I
10.1109/JSEE.2015.00137
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A method for solving the winner determination problem (WDP) in multi-attribute procurement auctions is proposed, based on technical and business experts' evaluation information. Firstly, on the background of procurements in China, a multi-attribute procurement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts' evaluation information. Further, the closeness coefficient of each bidder (candidate supplier) is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.
引用
收藏
页码:1244 / 1253
页数:10
相关论文
共 50 条
  • [21] Pricing the cloud based on multi-attribute auction mechanism
    Alomari, Zakaria
    AL-Oudat, Mohammad
    Alkhushayni, Suboh
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (01): : 629 - 654
  • [22] An evaluation method with imprecise information for multi-attribute decision support
    Prats, Francesc
    Sanchez, Monica
    Agell, Nuria
    Ormazabal, Gaizka
    [J]. CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE, 2006, 4177 : 133 - 142
  • [23] Two-Stage Multi-attribute Auction Mechanism for Price Discovery and Winner Determination
    Chetan, T. G.
    Jenamani, Mamata
    Sarmah, Sarada Prasad
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2019, 66 (01) : 112 - 126
  • [24] An Improved Ant Colony Algorithm for Winner Determination in Multi-Attribute Combinatorial Reverse Auction
    Qian, Xiaohu
    Huang, Min
    Gao, Taiguang
    Wang, Xingwei
    [J]. 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 1917 - 1921
  • [25] Multi-attribute Auction Method Based on Grey Relational Degree of Hybrid Sequences
    Rao Congjun
    Zhao Yong
    Zhang Zhongcheng
    [J]. JOURNAL OF GREY SYSTEM, 2009, 21 (02): : 175 - 184
  • [26] Study of Multi-attribute Comprehensive Evaluation method based on Attribute Theory
    Xu Guanglin
    Liu Nianzu
    [J]. 2014 INTERNATIONAL CONFERENCE ON MANAGEMENT OF E-COMMERCE AND E-GOVERNMENT (ICMECG), 2014, : 6 - 10
  • [27] A Truthful and Fair Multi-Attribute Combinatorial Reverse Auction for Resource Procurement in Cloud Computing
    Baranwal, Gaurav
    Vidyarthi, Deo Prakash
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2019, 12 (06) : 851 - 864
  • [28] Strategy/false-name proof protocols for combinatorial multi-attribute procurement auction
    Suyama, T
    Yokoo, M
    [J]. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2005, 11 (01) : 7 - 21
  • [29] Strategy/False-name Proof Protocols for Combinatorial Multi-Attribute Procurement Auction
    Takayuki Suyama
    Makoto Yokoo
    [J]. Autonomous Agents and Multi-Agent Systems, 2005, 11 : 7 - 21
  • [30] A New Method for Determining Objective Weights of Experts in Fuzzy Multi-Attribute Group Decision Making
    Kong, Lingfu
    Zhang, Zhihui
    Feng, Jianzhou
    [J]. PROCEEDINGS OF 2010 CROSS-STRAIT CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY, 2010, : 447 - 451