淡江大學機構典藏:Item 987654321/27395
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    题名: Incremental analysis for MCDM with an application to group TOPSIS
    作者: 時序時;Shih, Hsu-shih
    贡献者: 淡江大學經營決策學系
    关键词: Incremental analysis;Multi-criteria analysis;Benefit–cost ratio;TOPSIS;Engineering economy;Ratio scale;Preference aggregation
    日期: 2008
    上传时间: 2010-08-10 10:14:16 (UTC+8)
    出版者: Elsevier
    摘要: The study aims to exploit incremental analysis or marginal analysis to overcome the drawbacks of ratio scales utilized in various multi-criteria or multi-attribute decision making (MCDM/MADM) techniques. In the proposed 11-step procedure, multiple criteria of alternatives are first reorganized as two categories – benefits and costs – and decision information will be manipulated separately. The performances of alternatives are then evaluated on their incremental benefit–cost ratio, and the rank can be obtained by applying the group TOPSIS (technique for order preference by similarity to ideal solution) model (Shih et al., 2007). Two representations of cost, i.e., a cost index and utility index, are proposed in the model to better-fit real-world situations. In addition, some considerations on costs and input–output relations are also discussed in order to understand the essentials of incremental analysis. In the final part, a case of robot selection demonstrates the suggested model to be both robust and efficient in a group decision-making environment.
    關聯: European Journal of Operational Research 186(2), pp.720-734
    DOI: 10.1016/j.ejor.2007.02.012
    显示于类别:[管理科學學系暨研究所] 期刊論文

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