文章基本信息

标题：A Novel High Order Fuzzy Time Series Forecasting Method with Higher Accuracy Rate
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作者：S.M. Aqil Burney ; Syed Mubashir Ali ; Muhammad Shahbaz Khan 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2018
卷号：18
期号：5
页码：13-20
出版社：International Journal of Computer Science and Network Security
摘要：Fuzzy time series have been extensively used to make predictions of weather, road accidents, academic enrollments, population, and stock prices. In this paper, we have introduced an improved fuzzy time series forecasting model. This new model is applied in forecasting the University of Alabama student enrollments. Later a comparison has been done with some of the existing fuzzy time series forecasting methods being carried out on the same data set for university student enrollments. It has been observed that the proposed model has improved forecasting accuracy as well as reduced model complexity compared to other methods.
关键词：soft computing;fuzzy time series;forecasting;education management