English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60932/93628 (65%)
Visitors : 1251310      Online Users : 14
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/987654321/50713

    Title: Necessity Analysis of Fuzzy Regression Equations using a Fuzzy Goal Programming Model
    Authors: 曹銳勤;Tsaur, Ruey-chyn
    Contributors: 淡江大學經營決策學系
    Date: 2009-06-01
    Issue Date: 2010-08-10 15:22:09 (UTC+8)
    Publisher: Chinese Fuzzy Systems Association
    Abstract: In this study, using necessity analysis, we located a fuzzy regression interval that is possibly included in collected interval data by reducing the effect of fluctuating points. First, we developed a fuzzy regression model with a regression interval that is close to the sum of the radius values of collected interval data. Next, we enlarged the feasible region so that the fuzzy regression interval may be possibly included in the collected data by fuzzifying the constraints of the fuzzy regression model within a given tolerance value. Finally, we derived a satisfactory fuzzy regression equation with maximum possibility. The application of the proposed model is illustrated by means of an example.
    Relation: International Journal of Fuzzy Systems 11(2), pp.107-115
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File SizeFormat
    1562-2479_11(2)p107-115.pdf208KbAdobe PDF33View/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