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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/22189


    Title: Fuzzy linear regression with spreads unrestricted in sign
    Authors: Chang, P.-T., Lee, E.S.
    Contributors: Department of Industrial Engineering and Enterprise Information, Tunghai University
    Keywords: Fuzzy linear function;Fuzzy linear regression;Fuzzy parameter
    Date: 1994
    Issue Date: 2013-05-15T09:11:58Z (UTC)
    Abstract: By the use of actual examples, it is shown that when the two trends, namely the fuzzy spread trend and the center line, or modal, trend, are in conflict or inconsistent, the results of the fuzzy linear regression (FLR) model based on the approach of Tanaka and coworkers frequently misinterprets the data. To avoid this misinterpretation, a modification of the FLR procedure, by allowing the spreads of the parameter to be unrestricted in sign, is proposed. It is shown that by the use of this unrestricted fuzzy linear regression (UFLR) model, correct prediction of the trends are obtained. ? 1994.
    Relation: Computers and Mathematics with Applications
    Volume 28, Issue 4, August 1994, Pages 61-70
    Appears in Collections:[工業工程與經營資訊學系所] 期刊論文

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