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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/79065


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    題名: FUZZY TIME SERIES FORECASTING WITH BELIEF MEASURE
    作者: Wu, Berlin
    吳柏林
    Shih, Yaio-Zhern
    Yeh, Chiou-Cherng
    貢獻者: 應用數學系
    關鍵詞: Belief measure;Fuzzy time series forecastinf;Fuzzy rule base;Average rank accuracy
    日期: 2010-06
    上傳時間: 2015-10-27 14:12:13 (UTC+8)
    摘要: The profit of investment does not lie solely in the accuracy of prediction, but in the degree of belief as well. The greater the degree of belief is, the more capital the investors might venture, which results in more profit returns. On the contrary, under the condition of an accurate prediction, if the degree of belief is little, investors will not put in too much capital, which leads to limited profit. This study attempts to apply belief functions in explaining the prediction results of multivariate fuzzy time series, i.e. the degree of belief that the prediction model has for the prediction result. By utilizing multivariate fuzzy time series model, combining with two variables of closing price and volume of transaction in weighted stock price index, the author tries to predict the Taiwan weighted stock price index and estimate the degree of belief, which are trusted to be of great meaning for risk control and a better rate of return.
    關聯: KANSEI Engineering International, 7(1), 55-70
    資料類型: article
    DOI 連結: http://doi.org/10.5057/kei.7.55
    DOI: 10.5057/kei.7.55
    顯示於類別:[應用數學系] 期刊論文

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