淡江大學機構典藏:Item 987654321/119580
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    Title: A new multiple attribute decision making method based on linear programming methodology and novel score function and novel accuracy function of interval-valued intuitionistic fuzzy values
    Authors: Wang, Cheng-yi;陳錫明;Chen, Shyi-ming
    Keywords: Interval-valued intuitionistic fuzzy sets;IVIFVs;LP methodology;MADM
    Date: 2018-04-05
    Issue Date: 2020-11-17 12:10:19 (UTC+8)
    Publisher: Elsevier B.V.
    Abstract: Score functions and accuracy functions of interval-valued intuitionistic fuzzy values (IV- IFVs) play important roles in dealing with multiple attribute decision making (MADM) problems in interval-valued intuitionistic fuzzy (IVIF) environments. In this paper, we pro- pose a new MADM method using the linear programming (LP) methodology and the pro- posed new score function and the proposed new accuracy function of IVIFVs for overcom- ing the drawbacks of Wang and Chen’s MADM method (2017), which has the drawbacks that the preference order (PO) of alternatives cannot be distinguished in some cases and it gets an infinite number of solutions of the optimal weights of attributes when the sum- mation values of some columns in the transformed decision matrix (TDM) are the same, such that it obtains different POs of alternatives.
    Relation: Information Sciences 438, P.145-155
    DOI: 10.1016/j.ins.2018.01.036
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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