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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/22165


    Title: Fuzzy seasonality forecasting
    Authors: Chang, P.-T.
    Contributors: Department of Industrial Engineering and Enterprise Information, Tunghai University
    Keywords: Fuzzy forecasting;Fuzzy regression;Fuzzy seasonality;Membership function;Time-series
    Date: 1997
    Issue Date: 2013-05-15T09:11:28Z (UTC)
    Abstract: In this paper, a fuzzy forecasting technique for seasonality in the time-series data is presented using the following procedure. First, with the fuzzy regression analysis the fuzzy trend of a time-series is analyzed. Then the fuzzy seasonality is defined by realizing the membership grades of the seasons to the fuzzy regression model. Both making fuzzy forecast and crisp forecast are investigated. Seasonal fuzziness and trends are analyzed. The method is applied to the sales forecasting problem of a food distribution company. ? 1997 Elsevier Science B.V.
    Relation: Fuzzy Sets and Systems
    Volume 90, Issue 1, 1997, Pages 1-10
    Appears in Collections:[工業工程與經營資訊學系所] 期刊論文

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