• 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