A fuzzy-based credibility model for a probabilistic evaluation of web resources
Document Type
Article
Source of Publication
Ingenierie des Systemes d'Information
Publication Date
1-1-2015
Abstract
© 2015 Lavoisier. This paper discusses the assessment of Web resources trust. This assessment is undermined by the uncertainty that raises due to end-users’ ratings that can be questioned and variations in Web resources performance at run-time. To tackle the first uncertainty a fuzzy-clustering-based credibility model is suggested so that the gap between specific endusers (known as strict) and the current majority is reduced. To deal with the second uncertainty a probabilistic trust approach is proposed so that trust levels for future interactions with Web resources are made available to users. The probabilistic approach is built upon probabilistic databases and a fuzzy-based credibility model. A series of experiments are carried out to vali- date the suggested credibility model and the trust approach.
DOI Link
ISSN
Publisher
Lavoisier
Volume
20
Issue
6
First Page
79
Last Page
98
Disciplines
Computer Sciences
Keywords
Credibility, Fuzzy clustering, Probability, Trust, Web resource
Scopus ID
Recommended Citation
Saoud, Zohra; Faci, Noura; Maamar, Zakaria; and Benslimane, Djamal, "A fuzzy-based credibility model for a probabilistic evaluation of web resources" (2015). All Works. 126.
https://zuscholars.zu.ac.ae/works/126
Indexed in Scopus
yes
Open Access
no