淡江大學機構典藏:Item 987654321/64937
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62822/95882 (66%)
Visitors : 4019083      Online Users : 1062
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/987654321/64937


    Title: Compensatory fuzzy multiple level decision making
    Authors: 時序時;Shih, Hsu-shih;Lee, ES
    Contributors: 淡江大學經營決策學系
    Keywords: Mathematical programming;Compensatory operator;Multiple level programming;Fuzzy decision making
    Date: 2000-08-01
    Issue Date: 2011-10-20 16:11:58 (UTC+8)
    Abstract: Fuzzy set theory has been shown to be an effective tool to overcome the computational difficulties encountered in solving large multiple level programming problems (Shih et al., 1996). In this paper, compensatory operators are introduced for adjusting the decision making process between the different levels and also between the decision makers of the same level. After a brief consideration of the bi-level and three level systems, the large decentralized organizations with both equal and unequal goals are investigated. Various numerical examples are given to compare the influences of compensation and to illustrate the approaches.
    Relation: Fuzzy sets and systems114(1), pp.71-87
    DOI: 10.1016/S0165-0114(98)00409-6
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File Description SizeFormat
    Compensatory fuzzy multiple level decision making.pdf147KbAdobe PDF72View/Open
    index.html0KbHTML43View/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