计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (19): 217-219.DOI: 10.3778/j.issn.1002-8331.2009.19.067

• 工程与应用 • 上一篇    下一篇

C2C商家信任度动态分类机制研究

张景安1,刘 军2   

  1. 1.山西大同大学 数学与计算机科学学院,山西 大同 037009
    2.北京物资学院 信息学院,北京 101149
  • 收稿日期:2008-12-30 修回日期:2009-03-09 出版日期:2009-07-01 发布日期:2009-07-01
  • 通讯作者: 张景安

Research on dynamic mechanism-classified of trust degree for C2C-sellers

ZHANG Jing-an1,LIU Jun2   

  1. 1.School of Mathematics and Computer Science,Shanxi Datong University,Datong,Shanxi 037009,China
    2.School of Information Science,Beijing Wuzi University,Beijing 101149,China
  • Received:2008-12-30 Revised:2009-03-09 Online:2009-07-01 Published:2009-07-01
  • Contact: ZHANG Jing-an

摘要: 在C2C电子商务的交易中,买家因交易目的不同,对商家信任度的粒度要求是不同的。为提高交易的成功率,应建立商家信任度的动态分类机制,以满足不同应用的需求。为此,从买家对商家信任的本质出发,首先通过使用模糊集合理论的隶属度概念,提出了信任的定量描述方法;其次,引进模糊聚类分析方法,建立了商家信任度的动态分类机制;最后,通过实验仿真分析,验证了该方法的有效性和合理性。

关键词: 商家, 信任度, 主观信任, 隶属度, 模糊聚类

Abstract: In C2C E-commerce,due to make different transaction,buyers will require different trust degree’s granularity to sellers.In order to improve successful ratio of transaction,dynamic mechanism-classified of trust degree for C2C-sellers should be established.Therefore,based on the essence of buyers-to-sellers trust,the membership degree of the fuzzy sets theory is firstly introduced to descript trust quantitatively by trust vectors.Then dynamic mechanism-classified of trust degree for C2C-sellers is proposed based on the fuzzy clustering theory.Finally,validity and rationality of method this paper proposes are confirmed by simulation experiment.

Key words: C2C-sellers, trust degree, subjective trust, degree of membership, fuzzy clustering