English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 60984/93521 (65%)
造訪人次 : 1574050      線上人數 : 16
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/27395

    題名: Incremental analysis for MCDM with an application to group TOPSIS
    作者: 時序時;Shih, Hsu-shih
    貢獻者: 淡江大學經營決策學系
    關鍵詞: Incremental analysis;Multi-criteria analysis;Benefit–cost ratio;TOPSIS;Engineering economy;Ratio scale;Preference aggregation
    日期: 2008
    上傳時間: 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
    顯示於類別:[管理科學學系暨研究所] 期刊論文


    檔案 大小格式瀏覽次數
    0377-2217_186(2)p720-734.pdf195KbAdobe PDF251檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋