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

doi:10.3778/j.issn.1002-8331.2009.19.067

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (19): 217-219.DOI: 10.3778/j.issn.1002-8331.2009.19.067

• 工程与应用 • Previous Articles Next Articles

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

ZHANG Jing-an¹,LIU Jun²

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

C2C商家信任度动态分类机制研究

张景安¹,刘军²

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

通讯作者: 张景安

Abstract

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

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

ZHANG Jing-an¹,LIU Jun². Research on dynamic mechanism-classified of trust degree for C2C-sellers[J]. Computer Engineering and Applications, 2009, 45(19): 217-219.

张景安¹,刘军². C2C商家信任度动态分类机制研究[J]. 计算机工程与应用, 2009, 45(19): 217-219.

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

C2C商家信任度动态分类机制研究

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