Predetermination and application of linear exponential smoothing model 一次指數(shù)平滑模型預(yù)測(cè)法及實(shí)際應(yīng)用
However, two characters in the fuzzy exponential smoothing model have never been clearly discussed 然而,模糊指數(shù)平滑模式有兩個(gè)特性尚未被清楚的討論。
Second, the meanings of the tolerance values of the fuzzy constraints in the fuzzy exponential smoothing model require further elucidation 第二,模糊指數(shù)平滑模式中的模糊限制式之容忍值如何取舍需進(jìn)一步的解釋。
Therefore, in this study, in-depth examinations of fuzzy exponential smoothing model are carried out in order to elucidate the above two problems and to enhance the abilities of the fuzzy exponential smoothing model 因此,在此研究中,我們針對(duì)上述之二問(wèn)題加以深度探討以提高模糊指數(shù)平滑模式的可應(yīng)用性。
Therefore, in this study, in-depth examinations of fuzzy exponential smoothing model are carried out in order to elucidate the above two problems and to enhance the abilities of the fuzzy exponential smoothing model 因此,在此研究中,我們針對(duì)上述之二問(wèn)題加以深度探討以提高模糊指數(shù)平滑模式的可應(yīng)用性。
The fuzzy exponential smoothing model has been used for short-term forecasting with a minimum of collected data or unknown system structure to determine a better extrapolative interval in a fuzzy set for an unknown future trend 摘要模糊指數(shù)平滑模式對(duì)于資料量稀少或系統(tǒng)結(jié)構(gòu)模糊不清之問(wèn)題,能求解吻合資料未來(lái)趨勢(shì)的外差模糊預(yù)測(cè)值,以成功求解未來(lái)不確定高的短期預(yù)測(cè)問(wèn)題。