• DocumentCode
    3447552
  • Title

    A model for heterogeneous quality evaluation of Geographic web service

  • Author

    Li Liu ; Jinyun Fang ; Dui Liang

  • Author_Institution
    Inst. of Comput. Technol., Beijing, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the increasing popularity of Geographic web services, quality of service (QoS) has become more and more important for the purpose of web service selection and composition. Conventional quality evaluation models just focus on the attributes which are expressed by exact, numerical values. However, some quality attributes are related to the subjective feeling of human beings, which is preferable to expressed by fuzzy values. We present in this paper a new web service quality evaluation model, which uses real numbers, interval numbers, and linguistic expression to describe the quality of geo-services more accurately. GSHQEM model can not only evaluate geo-services with the above heterogeneous quality values, but also determine the weights of the attributes by experts. The experimental results show that the service selected by GSHQEM is better.
  • Keywords
    Web services; fuzzy set theory; geographic information systems; number theory; quality of service; GSHQEM model; QoS; Web service composition; Web service quality evaluation model; Web service selection; fuzzy values; geo-service evaluation; geo-service quality; geographic Web service; heterogeneous quality evaluation model; interval numbers; linguistic expression; quality attributes; quality of service; real numbers; Accuracy; Availability; Pragmatics; Quality of service; Time factors; Web services; Evaluation model; Geographic web service; Heterogeneous quality; Quality of services(QoS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626188
  • Filename
    6626188