DocumentCode :
693235
Title :
Combining experts´ opinion with consumers´ preference in web service QoS selection
Author :
Fa-Gui Liu ; Fen Xiao ; Yue-Dong Lin
Author_Institution :
Dept. of Comput. Sci. & Technol., South China Univ., Guangzhou, China
Volume :
04
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1740
Lastpage :
1746
Abstract :
Proper QoS selection method helps consumers find more appropriate service and increases their success in invoking the service. In this paper we propose an extended fuzzy multi-criteria group decision making model to solve the QoS selection problem. It takes experts´ opinion as the base data of decision making and receives consumer´s preference to yield the most fitted service for consumers. Consumers´ feedback is also considered to help make a right choice. The method is effective that among services of equal competence it selects the one that most meets consumer´s expectation and among those that equally satisfy a consumer, the one with greatest competence will be chosen. Experiments are carried out to proof the effectiveness of the method.
Keywords :
Web services; customer services; decision making; fuzzy set theory; quality of service; Web service QoS selection method; consumer feedback; consumer preference; expert opinion; fuzzy multicriteria group decision making model; Abstracts; Authentication; Availability; Diffserv networks; Indexes; Quality of service; Robustness; Intuitionistic fuzzy set; Multi-criteria group decision; QoS selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890879
Filename :
6890879
Link To Document :
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