A Fuzzy Set Based Network Trust Model in P2P Environment

This paper establishes a trust model based on fuzzy set. It’s a method based on subject uncertain theory. Adopting the fuzzy comprehensive evaluation, it computes direct trust value more diversiform and flexible. In the calculation of indirect recommended trust value it brings in the similarity coefficient that can find the peers who can provide more valuable information

Integrating Trust into the CyberCraft Initiative via the Trust Vectors Model

This research supports the hypothesis that the Trust Vector model can be modified to fit the CyberCraft Initiative, and that there are limits to the utility of historical data. This research proposed some modifications and expansions to the Trust Model Vector, and identified areas for future research

Evaluating trust in electronic commerce : a study based on the information provided on merchants' websites

Lack of trust has been identified as a major problem hampering the growth of Electronic Commerce (EC). It is reported by many studies that a large number of online shoppers abandon their transactions because they do not trust the website when they are asked to provide personal information. To support trust, we developed an information framework model based on research on EC trust. The model is based on the information a consumer expects to find on an EC website and that is shown from the literature to increase his/her trust towards online merchants. An information extraction system is then developed to help the user find this information. In this paper, we present the development of the information extraction system and its evaluation. This is then followed by a study looking at the use of the identified variables on a sample of EC websites

CCCI metrics for the measurement of quality of e-service

The growing development in web-based trust and reputation systems in the 21st century will have powerful social and economic impact on all business entities, and will make transparent quality assessment and customer assurance realities in the distributed web-based service oriented environments. The growth in web-based trust and reputation systems will be the foundation for web intelligence in the future. Trust and Reputation systems help capture business intelligence through establishing customer relationships, learning consumer behaviour, capturing market reaction on products and services, disseminating customer feedback, buyers? opinions and end-user recommendations, and revealing dishonest services, unfair trading, biased assessment, discriminatory actions, fraudulent behaviours, and un-true advertising. The continuing development of these technologies will help in the improvement of professional business behaviour, sales, reputation of sellers, providers, products and services. In this paper, we present a new methodology known as CCCI (Correlation, Commitment, Clarity, and Influence) for trustworthiness measure that is used in the Trust and Reputation System. The methodology is based on determining the correlation between the originally committed services and the services actually delivered by a Trusted Agent in a business interaction over the service oriented networks to determine the trustworthiness of the Trusted Agent

Where are You Watching? Patterns of Visual Exploration in the Ultimatum Game

The study aimed to advance the traditional issue of identifying decision strategy by analyzing the information processing in terms of visual exploration patterns. Twenty-seven participants played as responders in a computerized version of Ultimatum Game with an anonymous virtual partner. Responders tended to reject unfair offers, probably due to their taste for fairness and to the unidentifiability of the other player that reduced the willingness to cooperate. Furthermore, according to the evolutionary approach, participants focused their attention more at themselves than at the partner. Among the three type of offers \u2013 hyperfair, fair and unfair \u2013 mid-value offers, such as fair ones, required more number of fixations and fixations duration, related to the more complex cognitive and reasoning processes involved. Implications of this study could be applied in decisional settings with anonymous partners, such as those online, with future studies confirming the results found and integrating them through other process tracing methodologies

A Fuzzy Approach for Transactional Risk Management in E-Business Collaborations

Risk Management is an important process to be carried out for any form of interaction before decision-making. This process will help the concerned user to take steps and actions accordingly in order to address risks and achieve the activity's desired goals. Various techniques and approaches for risk management have been discussed in the literature. But the process of risk management is not generic and it varies and changes according to the domain or purpose of the interaction for which it is being considered. E-business interactions are collaborative interactions that are mostly carried out over a virtual environment. But by considering the growth of e-business interactions, a process of risk management is needed by which the interacting user can actually minimize and lessen the level of risk before decision-making. In this paper, a quantitative approach for risk management in e-business interactions is proposed which the interacting user can utilize to lessen the level of risk and then make an interaction-based decision