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    Multicriteria decision making with fuzziness and criteria interdependence in 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. Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection, pp. 1929-1936: Institute of Electrical and Electronics Engineers Inc..
    Source Title
    IEEE International Conference on Fuzzy Systems
    DOI
    10.1109/FUZZ-IEEE.2014.6891892
    ISBN
    9781479920723
    School
    School of Accounting
    URI
    http://hdl.handle.net/20.500.11937/27231
    Collection
    • Curtin Research Publications
    Abstract

    With the advent of Cloud computing and subsequent big data, online decision makers usually find it difficult to make informed decisions because of the great amount of irrelevant, uncertain, or inaccurate information. In this paper, we explore the application of multicriteria decision-making (MCDM) techniques in the area of Cloud computing and big data, to find an efficient way of dealing with criteria relations and fuzzy knowledge based on a great deal of information. We propose a MCDM framework, which combines the ISM-based and ANP-based techniques, to model the interactive relations between evaluation criteria, and to handle data uncertainties. We present an application of Cloud service selection to prove the efficiency of the proposed framework, in which a user-oriented sigmoid utility function is designed to evaluate the performance of each criterion.

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