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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/77285

    Title: A new piecewise fuzzy exponential smoothing model based on some change-points
    Authors: Tsaur, Ruey-chyn
    Contributors: 淡江大學管理科學學系
    Keywords: Forecasting;Fuzzy exponential smoothing model;Change-point;Piece wise fuzzy exponential smoothing model
    Date: 2011-06
    Issue Date: 2012-06-14 10:32:37 (UTC+8)
    Publisher: Kidlington: Pergamon
    Abstract: In our previous studies we proposed the fuzzyexponentialsmoothingmodel for extrapolation under a vague system with limited data. However, some change-points in the collected data always generate to enlarge a forecasting interval which provides the decision maker with little information to make some decisions. Therefore, in this study we defined the change-points and the piece forecasting intervals for deriving the piecewisefuzzyexponentialsmoothing interval, and we can effectively determine the future trends for decision. Finally, an illustrated example has been used to verify the effectiveness and confirm the potential benefits of the proposed model with a smaller and piecewise forecasting interval.
    Relation: Expert Systems with Applications 38(6), pp.7616-7621
    DOI: 10.1016/j.eswa.2010.12.099
    Appears in Collections:[Department of Management Sciences] Journal Article

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