Autosoft Journal

Online Manuscript Access

Multi agent system-based dynamic trust calculation model and credit management mechanism of online trading



Now all kinds of malicious acts appear in C2C online auctions, particularly the phenomenon of trust lack and credit fraud is very outstanding. Therefore, how to build an effective trust model has become a burning problem. Based on analyzing limitations of the existing online trust transaction mechanism, and according to characteristics (such as dynamic, innominate and suppositional) of online transaction trust problem, the article proposes a dynamic trust calculation model and reputation management mechanism of online trading based on multi-Agent system. The model consists of three parts. The first part is the trust of user domain, to put importance on the influence on current trust by recent credibility status, to motivate users to adopt an agreed cooperative strategy. The second part is the weighted average of reputation feedback score. The weighted part mainly considers the trust from the reputation feedback score person (the credibility of the feedback score), the value of the transaction (to prevent the 201Ccredit squeeze201D), temporal discounted (201Cguard against the fluctuations of the credibility201D ) and other factors. The third part is to give a weighting on the community contribution, according to the action taken by a user to the other members of the community in a time domain, to increase or decrease the user2019s trust to isolate the feedback submission of the credibility and punish the fraud. The paper builds the fraud limitation mechanism, which combines the prevention beforehand, coordination in the event and punishment afterwards. The mechanism makes the online transaction safe. Theoretic proof and experimental verification indicate the following three problems can be solved effectively: 1) solving the problem, which is difficult to prevent and is that speculative user accumulates the little trusts and squeeze on the large trading; 2) preventing members from cheating by false trading or personation; 3) reducing the arbitration workload of the online business platform.



Total Pages: 11
Pages: 639-649


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 22
Issue: 4
Year: 2016

Cite this document


Ba, Sulin, Andrew B. Whinston, and Han Zhang. "Building Trust in Online Auction Markets through an Economic Incentive Mechanism." Decision Support Systems 35.3 (2003): 273-286. Crossref. Web.

Buyya, Rajkumar, James Broberg, and Andrzej Goscinski, eds. "Cloud Computing." (2011): n. pag. Crossref. Web.

Chen H. Chinese Science: Information Science

Resource not found.

Padget, Julian et al., eds. "Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems." Lecture Notes in Computer Science (2002): n. pag. Crossref. Web.

Pinker, Edieal J., Abraham Seidmann, and Yaniv Vakrat. "Managing Online Auctions: Current Business and Research Issues." Management Science 49.11 (2003): 1457-1484. Crossref. Web.

Mármol, Félix Gómez, Gregorio Martínez Pírez, and Javier G Marín-Blázquez. "Meta-Tacs: A Trust Model Demonstration Of Robustness Through A Genetic Algorithm." Intelligent Automation & Soft Computing 17.1 (2011): 41-59. Crossref. Web.

Feng, Ye et al. "A Novel Cloud Load Balancing Mechanism in Premise of Ensuring QoS." Intelligent Automation & Soft Computing 19.2 (2013): 151-163. Crossref. Web.

He J. Intelligence Magazine

Chen, Hongsong, and Fu Zhongchuan. "A Novel Trust Routing Scheme Based on Node Behaviour Evaluation for Mobile AD Hoc Networks." Intelligent Automation & Soft Computing 17.8 (2011): 1063-1074. Crossref. Web.

Jiang, WeiJin, LianMei Zhang, and Pu Wang. "Dynamic Scheduling Model of Computing Resource Based on MAS Cooperation Mechanism." Science in China Series F: Information Sciences 52.8 (2009): 1302-1320. Crossref. Web.

Jiang W. Scientific China

Advanced Materials Research 282-283 (2011): n. pag. Crossref. Web.

Jiang W.J. Chinese Journal of Computers

Jøsang, Audun, Roslan Ismail, and Colin Boyd. "A Survey of Trust and Reputation Systems for Online Service Provision." Decision Support Systems 43.2 (2007): 618-644. Crossref. Web.

Jones, Kiku, and Lori N.K. Leonard. "Trust in Consumer-to-Consumer Electronic Commerce." Information & Management 45.2 (2008): 88-95. Crossref. Web.

Lackermair, Georg. "Hybrid Cloud Architectures for the Online Commerce." Procedia Computer Science 3 (2011): 550-555. Crossref. Web.

Li X. Online auction Decision

Li, Chu-Fen. "Understanding Effects of Seller”s and Bidder”s Characteristics on Internet Auction Applications." Expert Systems with Applications 37.4 (2010): 3462-3467. Crossref. Web.

Li L. Chinese Science: Information Science

Marsh S. (1994). Formalising trust as a computational concept . Ph.D. Thesis of University of Stirling.

McCole, Patrick, Elaine Ramsey, and John Williams. "Trust Considerations on Attitudes Towards Online Purchasing: The Moderating Effect of Privacy and Security Concerns." Journal of Business Research 63.9-10 (2010): 1018-1024. Crossref. Web.

Hu, Nan, Ling Liu, and Vallabh Sambamurthy. "Fraud Detection in Online Consumer Reviews." Decision Support Systems 50.3 (2011): 614-626. Crossref. Web.

Peng G. Forecast

Resnick, Paul et al. "Reputation Systems." Communications of the ACM 43.12 (2000): 45-48. Crossref. Web.

Shen C. Chinese Science: Information Science

Sinclaire, Jollean K., Judith C. Simon, and Ronald B. Wilkes. "A Prediction Model for Initial Trust Formation in Electronic Commerce." International Business Research 3.4 (2010): n. pag. Crossref. Web.

Tian H. Management Science

Tian J. Jiangsu University of Science and Technology (Social Science Edition)

Tian L. Q. Chinese Journal of Computers

Wang, Genxu et al. "Impacts of Permafrost Changes on Alpine Ecosystem in Qinghai-Tibet Plateau." Science in China Series D: Earth Sciences 49.11 (2006): 1156-1169. Crossref. Web.

WANG, Jia-Fang et al. "Research on Trust Framework in Multi-Agent System from the Cognitive View." Chinese Journal of Computers 33.1 (2010): 139-151. Crossref. Web.

Wang, YueFei, and JingHua Yang. "The Pointwise Convergence of p-Adic Möbius Maps." Science China Mathematics 57.1 (2013): 1-8. Crossref. Web.

Wu F. Electronic Commerce Research and Applications

Xu, Yingtao, and Ying Zhang. "A Online Credit Evaluation Method Based on AHP and SPA." Communications in Nonlinear Science and Numerical Simulation 14.7 (2009): 3031-3036. Crossref. Web.

Xu J. Chinese Science: Information Science

Yaghoubi N. Interdisciplinary Journal of Contemporary Research in Business

Yang Y. Information Science

Zacharia, Giorgos, Alexandros Moukas, and Pattie Maes. "Collaborative Reputation Mechanisms for Electronic Marketplaces." Decision Support Systems 29.4 (2000): 371-388. Crossref. Web.

Zhang X. Microelectronics & Computer

Zhang J. Computer Systems & Applications

Zhang E. Management Science

Song, William Wei et al., eds. "Information Systems Development." (2011): n. pag. Crossref. Web.

Zhu X. 2011. C2C online feedback mechanism to study the characteristics and roles, Ph.D. Thesis of Fudan University, Shanghai,

Zimmer, J. Christopher et al. "Investigating Online Information Disclosure: Effects of Information Relevance, Trust and Risk." Information & Management 47.2 (2010): 115-123. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048