Name
Abstract | ||
|---|---|---|
Existing service reputation management systems mainly considered the functions or QoS of the service, do not simultaneously include the aspect of service trustiness for consumers. In the proposed approach, the degree of consumer trust is appropriately estimated with reputation score derived by extending the approximate reasoning of Interval-valued Fuzzy Sets (IVFS) to the reputation computation incorporating consumers's perception based on the prior experience of the service. The proposed model enables evaluator's creditability detection by examining existing assessment records, and therefore excludes the fraudulent evidence of dishonest evaluators from the selection process. Finally, an illustration example of consumer trust-based web services selection is illustrated to demonstrate the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICEBE.2011.15 | ICEBE |
Keywords | Field | DocType |
fuzzy set theory,consumer trust,web services,existing assessment record,consumer trust-based web service,inference mechanisms,quality of service,selection process,approximate reasoning,service trustiness,existing service reputation management,qos,service reputation,creditability detection,web services selection,interval-valued fuzzy sets,reputation score,consumer trust-based approach,consumers perception,reputation computation,fraudulent evidence,inter-valvalued fuzzy sets,web service,security of data,service reputation management systems,management system,fuzzy set | Data mining,Computer science,Quality of service,Fuzzy set,Approximate reasoning,Web service,Perception,Reputation management,Reputation,Computation | Conference |
ISBN | Citations | PageRank |
978-1-4577-1404-7 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Wang | 1 | 235 | 15.84 |
| Kuo-Ming Chao | 2 | 1123 | 130.82 |
| Chi-Chun Lo | 3 | 593 | 54.99 |
| Wenhui Lin | 4 | 3 | 1.40 |
| Tzu Chia Wang | 5 | 1 | 0.70 |