淡江大學機構典藏:Item 987654321/111799
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/111799


    Title: Multiple attribute decision making based on interval-valued intuitionistic fuzzy sets, linear programming methodology, and the extended TOPSIS method
    Authors: 王正一;Wang, Cheng-yi;陳錫明;Chen, Shyi-ming
    Keywords: Interval-valued intuitionistic fuzzy sets;Linear programming methodology;Multiple attribute decision making;TOPSIS
    Date: 2017/08/01
    Issue Date: 2017-10-20 02:10:39 (UTC+8)
    Publisher: Elsevier Inc.
    Abstract: In recent years, some multiple attribute decision making (MADM) methods have been presented based on interval-valued intuitionistic fuzzy sets (IVIFSs). In this paper, we propose a new MADM method based on IVIFSs, the linear programming (LP) methodology, and the extension of the technique for order preference by similarity to ideal solution (TOPSIS) method, where the LP methodology is used to obtain optimal weights of attributes. The proposed method can overcome the drawbacks of the existing methods for MADM in interval-valued intuitionistic fuzzy (IVIF) environments.
    Relation: Information Sciences, vol 397–398, pp. 155-167
    DOI: 10.1016/j.ins.2017.02.045
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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