On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
Optimal consensus of fuzzy opinions under group decision making environment
Fuzzy Sets and Systems
Importing the Semantic Web in UDDI
CAiSE '02/ WES '02 Revised Papers from the International Workshop on Web Services, E-Business, and the Semantic Web
A model for web services discovery with QoS
ACM SIGecom Exchanges
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Solving Qos-Driven Web Service Dynamic Composition as Fuzzy Constraint Satisfaction
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Fuzzy Matchmaking for Web Services
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
A Moderated Fuzzy Matchmaking forWeb Services
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
An approach for web service discoverability anti-pattern detection for journal of web engineering
Journal of Web Engineering
Review: Cloud computing service composition: A systematic literature review
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Web services are used for developing and integrating highly distributed and heterogeneous systems in different domains such as e-business, grid services, and e-government systems. Web services discovery is a key to dynamically locating desired web services across the Internet. Prevailing research trend is to dynamically discover and compose web services in order to develop composite services that provide enhanced functionality. Existing discovery techniques do not take into account the diverse preferences and expectations of service consumers and providers which are generally used for searching or advertising web services. This paper presents a moderated fuzzy web service discovery approach to model subjective and fuzzy opinions, and to assist service consumers and providers in reaching a consensus. The method achieves a common consensus on the distinct opinions and expectations of service consumers and providers. This process is iterative such that further fuzzy opinions and preferences can be added to improve the precision of web service discovery. The proposed method is implemented as a prototype system and is tested through various experiments. Experimental results demonstrate the effectiveness of the proposed method.