政大學術集成


請使用永久網址來引用或連結此文件: https://ah.nccu.edu.tw/handle/140.119/80602


題名: Model Construction and Residues Analysis with Fuzzy Data
作者: Yu, Chun-Yi
游鈞毅
Li, Wen-Xing
貢獻者: 應數系
關鍵詞: Average of the sum of fuzzy entropies;Change periods;Fuzzy data classification;Population of singles;Unemployment rate
日期: 2011-06
上傳時間: 2016-01-15 14:23:17 (UTC+8)
摘要: The application of data classifications in time series analysis and forecasting is rather important. The fuzzy data classification has received much attention recently. It can be applied on various fields such as finance, sociology, biomedicine, electrical engineering and so on. This study is to use the fuzzy data classification to perform an intensive research on the change periods detection and model construction of the interval time series. We use average of the sum of fuzzy entropies to find out interval of the structural changes. Focusing on the time series of intervals, we build a model and make prediction about it. At the end, based on the case study on the population of singles versus, we thoroughly discuss this topic. The result shows that the unemployment rate does significantly correlate with the population of singles, but the "widow's year" does not.
關聯: International Journal of Intelligent Technologies & Applied Statistics, 4(2), 265-283
資料類型: article
顯示於類別:[應用數學系] 期刊論文

文件中的檔案:

檔案 描述 大小格式瀏覽次數
265-283.pdf732KbAdobe PDF328檢視/開啟


在學術集成中所有的資料項目都受到原著作權保護.


社群 sharing