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    A hybrid fuzzy framework for Cloud service selection

    Access Status
    Fulltext not available
    Authors
    Le, S.
    Dong, Hai
    Hussain, F.
    Hussain, O.
    Ma, J.
    Zhang, Y.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Le, S. and Dong, H. and Hussain, F. and Hussain, O. and Ma, J. and Zhang, Y. 2014. A hybrid fuzzy framework for Cloud service selection, pp. 313-320: Institute of Electrical and Electronics Engineers Inc..
    Source Title
    Proceedings - 2014 IEEE International Conference on Web Services, ICWS 2014
    DOI
    10.1109/ICWS.2014.53
    ISBN
    9781479950546
    School
    School of Accounting
    URI
    http://hdl.handle.net/20.500.11937/11259
    Collection
    • Curtin Research Publications
    Abstract

    QoS-based service rating has made positive contributions to the area of service selection. Especially for Cloud service users, the right decision when choosing suitable Cloud services can help them improve user satisfaction and trading revenues. This work aims to address the issue of uncertainty in service requests, service descriptions, user and expert preferences, as well as evaluation criteria in a MCDM-based service selection procedure. A hybrid fuzzy framework for Cloud service selection is proposed, addressing the challenge using three approaches: a fuzzy-ontology-based approach for function matching and service filtering; a fuzzy AHP technique for informed criterion weighting; and, a fuzzy TOPSIS approach for service ranking.

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