Service Trustworthiness Evaluation Using Neural Network and Fuzzy Logic

Wu, Zhen; Zhou, Yu

doi:10.1109/scc.2016.80

Cited by 3 publications

(1 citation statement)

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“…This model expresses that the accomplishment of a framework can be controlled by client acknowledgment of the framework measured by two factors: the Perceived Usefulness (PU) of the framework and Perceived usability (PEOU) of the framework. As indicated by this model, a client's recognition about a frameworks value and usability brings about a goal to utilize [6]. The TAM has been tried in numerous experimental examinations and observed to be very legitimate and dependable and is generally referenced.…”

Section: Introductionmentioning

confidence: 99%

Usability Of An E-Commerce Website Using Information Mining and Artificial Intelligence

Gupta

Sagar

2018

Proceedings of the First International Conference on Information Technology and Knowledge Management

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Abstract-Everyday a number of people are launching new websites of which many are e-Commerce websites. E-Commerce website means business and to have business they have to be useful to the customer. So, it is very important for the e-Commerce site to get the trust of the customer. Or in other words the trustworthiness of an e-Commerce site is very important to have business. Usability can be increased by enhancing trust. How much a customer trusts a website becomes a fundamental question which beckons for an answer. More a customer trusts a website, more he will be using the website. This article includes a study on website usability, trust evaluation and how to improve trust to improve the usability of a website. Here we find the different factors that affect the quality of an ecommerce site. Based on these factors the trustworthiness of an e-commerce site is calculated using Matlab.

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Section: Introductionmentioning

confidence: 99%

Usability Of An E-Commerce Website Using Information Mining and Artificial Intelligence

Gupta

Sagar

2018

Proceedings of the First International Conference on Information Technology and Knowledge Management

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A Fuzzy Based Trust Evaluation Model for Service Selection in Cloud Environment

Priya

Jaisankar

2019

International Journal of Grid and High Performance Computing

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Cloud computing is a popular computing paradigm among several computing environments, but a deficit in trust among the users and the service providers prevents the large adoption of the cloud in most of the businesses. Cloud service providers should give assurances for providing the reliable services to the cloud consumers. The proposed work explains about the architecture of the trust evaluation model and considered four service measurement indexes (SMI) namely: availability, success rate, turnaround efficiency and feedback about a resource. The trust value for each resource is estimated by the fuzzy evaluation engine in which a fuzzy input set is derived from the SMI parameters. By applying a fuzzy inference rule on fuzzy input sets will yield a fuzzy output set and finally, the most trusted resource value is calculated by defuzzification process called center of gravity. The proposed work is done the implementation by using cloudsim with jfuzzycloud.

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