政大學術集成


Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/80602


Title: Model Construction and Residues Analysis with Fuzzy Data
Authors: Yu, Chun-Yi
游鈞毅
Li, Wen-Xing
Contributors: 應數系
Keywords: Average of the sum of fuzzy entropies;Change periods;Fuzzy data classification;Population of singles;Unemployment rate
Date: 2011-06
Issue Date: 2016-01-15 14:23:17 (UTC+8)
Abstract: 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.
Relation: International Journal of Intelligent Technologies & Applied Statistics, 4(2), 265-283
Data Type: article
Appears in Collections:[Department of Mathematical Sciences] Periodical Articles

Files in This Item:

File Description SizeFormat
265-283.pdf732KbAdobe PDF326View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing