Paper Info
Title
A QoS-Based Fuzzy Model for Ranking Real World Web Services
Abstract
With the increasing popularity of using Web services, Quality of Service (QoS) is becoming a significant concern for both service consumers and providers. Several models for considering functional and non-functional QoS requirements for the purpose of Web service discovery and selection have been proposed. We present in this paper a new Web services selection model based on fuzzy logic. In this model, the non-functional QoS requirements are taken into account for the appropriate selection of required services. Our model can handle consumers' imprecise preferences with fuzzy sets. Moreover, a new fuzzy ranking algorithm that is based on the dependencies between quality attributes is proposed. The experimental results obtained from real world Web service domains revealed better performance of our algorithm compared to Entropy-based ranking algorithms.
Year
DOI
Venue
2011
10.1109/ICWS.2011.43
Web Services
Keywords
Field
DocType
fuzzy logic,fuzzy set,new fuzzy ranking algorithm,appropriate selection,real world web service,web service discovery,qos-based fuzzy model,non-functional qos requirement,ranking real world web,web service,required service,new web services selection,fuzzy sets,ranking,fuzzy system,computational modeling,fuzzy set theory,correlation,fuzzy systems,quality of service,computer model,web services
Data mining,Learning to rank,Computer science,Quality of service,Fuzzy set,Artificial intelligence,Fuzzy control system,Ranking,Fuzzy logic,Web service,Database,WS-Policy,Machine learning
Conference
ISBN
Citations 
PageRank 
978-0-7695-4463-2
26
0.95
References 
Authors
17
3
Name
Order
Citations
PageRank
Mohammed Almulla114720.60
Kawthar Almatori2371.90
hamdi yahyaoui339732.82