|Table of Contents|

Research on Multi-Level Fuzzy Comprehensive Evaluation Method for E-Market

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2013年04期
Page:
48-
Research Field:
计算机科学
Publishing date:

Info

Title:
Research on Multi-Level Fuzzy Comprehensive Evaluation Method for E-Market
Author(s):
Chang Baoxian1; Chen Weiwei1; Jiang Yi2
(1.School of Science,Nanjing University of Technology,Nanjing 211816,China) (2.School of Information and Engineering,Yangzhou University,Yangzhou 225009,China)
Keywords:
e-market; entropy method; synthetic weighted; fuzzy evaluation
PACS:
O223
DOI:
-
Abstract:
Electronic market is appeared in a rash,so comprehensive and objective assessment is helpful for users’ scientific option.An improved multi-level fuzzy comprehensive assessment model is constructed according to fuzzy mathematics methodology in this paper.According to the construct multi-level electronic market assessment indicators system,aiming at the advantages and disadvantages between subjective assignment and objective assignment,the weight of every assessment indicators is set by synthetically using the analytic hierarchy process(AHP)and entropy method,subjective experience and objective information are both covered; and then calculated with improved fuzzy operator M(∧,+)level by level,the quantitative assessment result is got.The experience shows that the multi-level fuzzy model this paper presents got an effective assessment on the electronic market.

References:

[1] Mark B.E-commerce sales rise 40% for Jones in 2010[EB/OL].(2011-02-09)http://www.internetretailer.com/2011/02/09/e-commerce-sales-rise-40-jones-2010.
[2]Maketing Vox.European E-commerce to reach 323 billion euros in 2011[EB/OL].http://www.marketingvox.com/european-e-commerce-to-reach-323-billion-euros-in-2011-032147/2012.4.
[3]中国电子商务研究中心.2010年度中国电子商务市场数据监测报告[R].杭州:中国电子商务研究中心,2011.
[4]Wellman M P,Wurman P R,O’Malley K,et al.Designing the market game for a trading agent competition[J].IEEE Internet Computing,2001,5(2):43-51(in Chinese).
[5]Cai K,Gerding E,McBurney P,et al.Overview of CAT:A market design competition,ULCS-09-005[R].Liverpool:Department of Computer Science,University of Liverpool,2009.
[6]Zhang Linlan,Chen Xueguang,Hong Liu.Optimality strategy of a sealed-offer simultaneous bargaining protocol[J].Science China Information Sciences,2011,54(1):79-90.
[7]Sanchez-Anguix V,Julian V,Botti V,et al.Reaching unanimous agreements within agent-based negotiation teams with linear and monotonic utility functions[J].Systems,Man,and Cybernetics,Part B:Cybernetics,IEEE Transactions on,2012,42(3):778-792.
[8]Sanchez-Anguix V,Julian V,García-Fornes A.Agent-based negotiation teams[C]//Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.California:AAAI Press,2011:2 844-2 845.
[9]Victor Sanchez-Anguix,Vicente Julian,Ana Garca.Form agent-based negotiation teams proceedings of the twenty-second international joint[C]//Conference on Artificial Intelligence(IJCAI 2011).California:AAAI Press,2011:2 344-2 345.
[10]Ellison G,Ellison S.Search,obfuscation,and price elasticity on the internet[J].Econometrica:Journal of the Econometric Society,2009,77(2):427-452.
[11]金士尧,黄红兵,范高俊.面向涌现的多Agent系统研究及其进展[J].计算机学报,2008,31(6):881-895.
[12]Zhu Junwu,Zhang Dongmo.Dynamic auction for efficient competitive equilibrium under price rigidities[C]//Advance in Artifical Intellihence Lecture Notes in Computer Science.Berlin:Springer-Verlag,2011:809-818.
[13]He M,Jennings N R,Leung H F.On agent-mediated electronic commerce[J].IEEE Transactions on Knowledge and Data Engineering,2003,15(4):985-1 003.
[14]李柏年.模糊数学及其应用[M].合肥:合肥工业大学出版社,2007.
[15]镇常青.多目标决策中的权重调查确定方法[J].系统理论与工程实践,1987,7(2):16-24.
[16]孙利娟,刑小军,周德群.熵值赋权法的改进[J].统计与决策,2010,21:153-154.

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Last Update: 2013-12-30