English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60868/93650 (65%)
Visitors : 1148764      Online Users : 24
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/96358

    Title: Fuzzy Weighting Optimization with Multiobjective Functions
    Authors: Shih, C. J.;Lai, Tsing-Kuan
    Contributors: 淡江大學機械與機電工程學系
    Keywords: 模糊集合理論;多目標最佳化;加權;Fuzzy Set Theory;Multiobjective Optimization;Weighting;Objective Weighting;Fuzzy Weighting Method
    Date: 1992-07
    Issue Date: 2014-03-07 11:23:00 (UTC+8)
    Abstract: Two representations of the weighting techniques in fuzzy multiobjective optimization have been proposed. The results of the objective weighting is closer to the ideal solution than that of the membership weighting. A min-max variant fuzzy multiobjective optimization has been developed. The ideal solution for the cost membership function is no need to relax. The final optimum design is further improved by fuzzy weighting technique. The optimization process and the application have been presented and discussed.
    Relation: Proceedings of the Second International Conference on Automation Technol ogy=(Vol. 1),pp.285-290
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Proceeding

    Files in This Item:

    File SizeFormat
    Fuzzy Weighting Optimization with Multiobjective Functions_英文摘要.docx14KbMicrosoft Word109View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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