Fuzzy computational models for trust and reputation systems

Bharadwaj, Kamal Kant; Al-Shamri, Mohammad Yahya H.

doi:10.1016/j.elerap.2008.08.001

Cited by 144 publications

(79 citation statements)

References 18 publications

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“…Moreover, according to Morgan [8], the conclusion of the compartmental component could be redundant, as a result of the cognitive component. In previous literature trust is defined as one party's confidence that the other party in the exchange relationship will not exploit its vulnerabilities in e-education service.…”

Section: Theoretical Background IImentioning

confidence: 99%

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Study of Continuity Trust on Adoption and Design of e-Education and Student Development

Liu

Guo

2016

Int. J. Emerg. Technol. Learn.

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Abstract-Trust or trustworthiness is an important issue in e-education and development of students' capabilities. Factors to calculate trust level have been studied to provide valuable information to students to avoid invalid choices. While some education branches provider and fraudulent services online still widely exist. A typical one is to attract students with ideal price or service but fail to deliver a solid item. This behavior is often carried out by a newly registered e-education. This paper proposes a new trust evaluation model to indicate to some extent the trust level of an eeducation firm or service provider at different registered time. We describe our proposed approach for continuity trust evaluation, which evaluated empirically in the paper.

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Section: Theoretical Background IImentioning

confidence: 99%

“…Trust is important in explaining customers' economical and social behaviors, especially for the student to make purchasing decisions [8]. Its absence frustrates existing bonding and causes misunderstandings [9].…”

Section: Theoretical Background IImentioning

confidence: 99%

Study of Continuity Trust on Adoption and Design of e-Education and Student Development

Liu

Guo

2016

Int. J. Emerg. Technol. Learn.

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“…Jøsang et al [7] introduced a reputation model based on multinomial Dirichlet probability distribution. Bharadwaj et al [3] developed some new metrics based on work of Jøsang et al [7] and using fuzzy logic to compute trust and reputation of product. Cho et al [4] proposed three factors that assess the user reliability.…”

Section: Related Workmentioning

confidence: 99%

Online Reputation Model Using Moving Window

Azzeh¹

2017

ijacsa

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Abstract-Users are increasingly dependent on decision tools to facilitate their transactions on the internet. Reputation models offer a solution to the users in supporting their purchase decisions. The reputation model takes product ratings as input and produces product quality as score. Most existing reputation models use naïve average method or weighted average method to aggregate ratings. Naïve average method is unstable when there exist a clear trend in the ratings sequence. Also, the weighted methods are influenced by unfair and malicious ratings. This paper introduces a new simple reputation model that aggregates ratings based on the concept of moving window. This approach enables us to study variability of ratings over time which allows us to investigate the trend of ratings and account for sudden changes in ratings trend. The window size can be defined by either number of ratings or duration. The proposed model has been validated against stat-ofart reputation models using Mean Absolute Error and Kendall tau correlation.

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“…The beta reputation system is a sophisticated engine calculating the value of the users' reputation ratings from various inputs including feedback from other users [22] p. 2. [7] proposed a fuzzy computational model for trust and reputation systems. Trust indices in Auction such as seller grade, purchase satisfaction, and merchandise assessment are very similar to the reputation ratings which can be calculated by a reputation engine.…”

Section: Measuring the Buyer's Trust In Sellermentioning

confidence: 99%

Roles of the Buyer´s Trust in Seller in Posted-Price Model of Consumer to Consumer E-Commerce

Joo

2015

J. theor. appl. electron. commer. res.

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Fuzzy computational models for trust and reputation systems

Cited by 144 publications

References 18 publications

Study of Continuity Trust on Adoption and Design of e-Education and Student Development

Study of Continuity Trust on Adoption and Design of e-Education and Student Development

Online Reputation Model Using Moving Window

Roles of the Buyer´s Trust in Seller in Posted-Price Model of Consumer to Consumer E-Commerce

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