A Fuzzy Clustering-Based Credibility Model for Trust Assessment in a Service-Oriented Architecture
| Title | A Fuzzy Clustering-Based Credibility Model for Trust Assessment in a Service-Oriented Architecture |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Saoud, Z., Faci, N., Maamar, Z., Benslimane, D. |
| Conference Name | WETICE Conference (WETICE), 2014 IEEE 23rd International |
| Date Published | June |
| Keywords | Clustering algorithms, Communities, Computational modeling, consumer credibility, consumer ratings, Credibility, credibility model, customer satisfaction, Equations, fuzzy clustering, fuzzy set theory, human computer interaction, majority rating, pattern clustering, Robustness, service-oriented architecture, Social network services, Trust, trust assessment, Trusted Computing, Web Service, web services |
| Abstract | This paper presents a credibility model to assess trust of Web services. The model relies on consumers' ratings whose accuracy can be questioned due to different biases. A category of consumers known as strict are usually excluded from the process of reaching a majority consensus. We demonstrated that this exclusion should not be. The proposed model reduces the gap between these consumers' ratings and the current majority rating. Fuzzy clustering is used to compute consumers' credibility. To validate this model a set of experiments are carried out. |
| DOI | 10.1109/WETICE.2014.35 |
| Citation Key | 6927023 |
- human computer interaction
- web services
- Web Service
- Trusted Computing
- trust assessment
- trust
- Social network services
- service-oriented architecture
- Robustness
- pattern clustering
- majority rating
- Clustering algorithms
- fuzzy set theory
- fuzzy clustering
- Equations
- customer satisfaction
- credibility model
- Credibility
- consumer ratings
- consumer credibility
- Computational modeling
- Communities