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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/88356


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    題名: 時間數列的模糊分析和預測
    Fuzzy Analysis and Forecasting in Time Series
    作者: 許嘉元
    Sheu, Chia-Yuan
    貢獻者: 吳柏林
    Wu,Berlin
    許嘉元
    Sheu, Chia-Yuan
    關鍵詞: 模糊自我迴歸模式
    預測
    模糊趨勢
    模糊穩定
    中央政府總預算
    匯率
    Fuzzy autoregressive model
    Forecasting
    Fuzzy trend
    Fuzzy stationary
    Fuzzy time series
    日期: 1994
    1993
    上傳時間: 2016-04-29 15:30:57 (UTC+8)
    摘要: 動態資料往往隨著時間區間取法或測量工具的不同而有差異,此種不確定的特質我們稱為模糊性。但是傳統的時間數列仍是以確定的觀察值來記錄具有模糊性的動態資料。為了更完整的表示一個動態過程,我們考慮模糊時間數列(fuzzy time series)以具有不確定性的模糊集合來取代明確的數值,保持原來的模糊性。
    Representations of dynamic data are always different as the time interval or measuring tool change. We call these characteristics of uncertainty fuzziness. But traditional time series use crisp observations to record a fuzzy dynamic process. To completely represent, we consider fuzzy time series replacing the crisp numbers with fuzzy sets and preserve original fuzziness. In this paper, the fuzzy
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    描述: 碩士
    國立政治大學
    統計學系
    81354009
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002003824
    資料類型: thesis
    顯示於類別:[統計學系] 學位論文

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