淡江大學機構典藏:Item 987654321/78163
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62819/95882 (66%)
造訪人次 : 4010505      線上人數 : 975
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/987654321/78163


    題名: A new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets
    作者: 陳錫明;Chen, Shyi-ming;王正一;Wang, Cheng-yi
    貢獻者: 淡江大學資訊管理學系
    關鍵詞: Fuzzy decision making;Fuzzy ranking;Generalized fuzzy numbers;Interval type-2 fuzzy sets
    日期: 2011-07-10
    上傳時間: 2012-09-09 22:33:13 (UTC+8)
    出版者: IEEE
    摘要: This paper presents a new method for fuzzy decision making based on ranking generalized fuzzy numbers and interval type-2 fuzzy sets. First, we propose a new fuzzy ranking method based on the α-cuts of generalized fuzzy numbers and interval type-2 fuzzy sets. The proposed fuzzy ranking method involves a decision-maker’s attitude towards
    risks to calculate the left areas and the right areas of generalized fuzzy numbers and interval type-2 fuzzy sets with the consideration of the heights of generalized fuzzy numbers and interval type-2 fuzzy sets. Based on the proposed fuzzy ranking method, we propose a new method for fuzzy decision making. The proposed fuzzy decision making method is more flexible and more intelligent than the existing fuzzy decision
    making methods, where it not only considers the decision-maker’s attitude towards risks, but also can deal with situations where the evaluating values are represented by
    interval type-2 fuzzy sets.
    關聯: Proceedings of the 2011 International Conference on Machine Learning and Cybernetics v.1, pp.131-136
    DOI: 10.1109/ICMLC.2011.6016693
    顯示於類別:[資訊管理學系暨研究所] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    ICMLC 2011 (06016693).pdfMain article217KbAdobe PDF334檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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