淡江大學機構典藏:Item 987654321/27401
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/27401


    Title: An extension of TOPSIS for group decision making
    Authors: 時序時;Shih, Hsu-shih;Shyur, Huan-jyh;Lee, E. Stanley
    Contributors: 淡江大學經營決策學系
    Keywords: TOPSIS;Multi-attribute decision making;Group decision support;Preference aggregation;Distance function;Normalization
    Date: 2007-04-01
    Issue Date: 2009-12-30 15:10:36 (UTC+8)
    Publisher: Elsevier
    Abstract: An extension of TOPSIS (technique for order performance by similarity to ideal solution), a multi-attribute decision making (MADM) technique, to a group decision environment is investigated. TOPSIS is a practical and useful technique for ranking and selection of a number of externally determined alternatives through distance measures. To get a broad view of the techniques used, we provide a few options for the operations, such as normalization, distance measures and mean operators, at each of the corresponding steps of TOPSIS. In addition, the preferences of more than one decision maker are internally aggregated into the TOPSIS procedure. Unlike in previous developments, our group preferences are aggregated within the procedure. The proposed model is indeed a unified process and it will be readily applicable to many real-world decision making situations without increasing the computational burden. In the final part, the effects of external aggregation and internal aggregation of group preferences for TOPSIS with different computational combinations are compared using examples. The results have demonstrated our model to be both robust and efficient.
    Relation: Mathematical and Computer Modelling 45(7-8), pp.801-813
    DOI: 10.1016/j.mcm.2006.03.023
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article
    [Department of Management Sciences] Journal Article

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