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Un modèle de crédibilité basé sur le clustering flou pour une évaluation probabiliste de la confiance des ressources sur le Web

Zohra Saoud 1 Noura Faci 1 Zakaria Maamar 2 Djamal Benslimane 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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 validate the suggested credibility model and the trust approach.
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https://hal.archives-ouvertes.fr/hal-01256174
Contributor : Zohra Saoud <>
Submitted on : Thursday, January 14, 2016 - 2:42:17 PM
Last modification on : Wednesday, November 20, 2019 - 2:45:42 AM

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Zohra Saoud, Noura Faci, Zakaria Maamar, Djamal Benslimane. Un modèle de crédibilité basé sur le clustering flou pour une évaluation probabiliste de la confiance des ressources sur le Web. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2015, MÉTHODES EMPIRIQUES ET EXPÉRIMENTALES EN INGÉNIERIE DES SI, 20 (6), pp.79-98. ⟨10.3166/isi.20.6.79-98⟩. ⟨hal-01256174⟩

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