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    Multi-criteria decision making: an overview and a comparative discussion

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    Authors
    Ramanathan, Ramakrishnan
    Mathirajan, Muthu
    Issue Date
    2017-07-17
    Subjects
    multi-criteria decision making
    N100 Business studies
    decision making
    
    Metadata
    Show full item record
    Other Titles
    Big data analytics using multiple criteria decision making models
    Abstract
    An attempt to provide an overview of the different techniques in the field of multi-criteria decision-making is made in this chapter. First, some basic terminologies are reviewed. A classification of the various methods is outlined. Some of the basic concepts common to many methods are presented. The methods covered in the overview include the Multi Attribute Utility Theory, the Analytic Hierarchy Process, the ELECTRE methods, PROMETHEE methods, Fuzzy Set Theory, Multi-objective Linear Programming, Goal Programming, the Aspiration-level Interactive Method, Compromise Programming, and Data Envelopment Analysis. The different methods are compared in terms of several vital parameters. Finally, a link to the context of Big Data is provided in line with the theme of this book.
    Citation
    Ramanathan R, Ravindran A R, Mathirajan M (2017) 'Multi-criteria decision making: an overview and a comparative discussion', in Ramanathan R, Mathirajan M, Ravindran A R (ed(s).). Big data analytics using multiple criteria decision making models, 1 edn, Florida, USA: CRC Press, Taylor & Francis pp.21-66.
    Publisher
    CRC Press, Taylor & Francis
    URI
    http://hdl.handle.net/10547/622184
    DOI
    10.1201/9781315152653-3
    Additional Links
    https://www.crcpress.com/Big-Data-Analytics-Using-Multiple-Criteria-Decision-Making-Models/Ramanathan-Mathirajan-Ravindran/p/book/9781498753555
    Type
    Book chapter
    Language
    en
    ISBN
    9781498753555
    ae974a485f413a2113503eed53cd6c53
    10.1201/9781315152653-3
    Scopus Count
    Collections
    Business and management

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