• DocumentCode
    476304
  • Title

    A decision-making method of the Web service reputation based on semantic

  • Author

    Song, Zi-lin ; Zhou, Ning ; Zhen, Shi-ming ; Jiang, Yuan-yuan

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing
  • Volume
    6
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3519
  • Lastpage
    3524
  • Abstract
    A key problem of the Web service is how to evaluate the reputation of the Web service. When the multiple attributive decision-making problem bases on the incomplete attribute weight and determinate attribute value, a new grey relation analysis method is proposed to solve the problem of evaluating the reputation about semantic Web service. According to the fundamental principle of the grey relation analysis method, this method gives the calculating procedure to solve the problem of evaluating the reputation when the attribute weight of semantic Web service is incomplete. The core of the method is building and solving a single-purpose linear programming model and an optimum model of optimal membership degree. An instance is described in the paper to illustrate that the grey relation analysis method is a good method to resolve the problem of evaluating reputation when a semantic Web service has incomplete attribute weight. the simulation results of experiment shows that, compared with the traditional evaluating method which use blurring operators, the new method increases precision ratio and recall ratio of web services.
  • Keywords
    Web services; decision making; grey systems; ontologies (artificial intelligence); semantic Web; Web service reputation; decision-making method; grey relation analysis method; optimal membership degree; optimum model; single-purpose linear programming model; Availability; Costs; Cybernetics; Decision making; Delay; Machine learning; Ontologies; Quality of service; Semantic Web; Web services; Blurring operator; Grey relation analysis; Optimal membership degree; Reputation; Web service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4621013
  • Filename
    4621013