An Improved Forecasting Model of Fuzzy Time Series

Abstract:

Since Song and Chissom proposed fuzzy time series forecasting theory, already exceed in the 20 years. Scholars have proposed many fuzzy time series forecasting models, the prediction accuracy of historical simulation data continues to improve. Unfortunately has not hitherto given for fuzzy time series forecasting model about the data of unknown years. This paper presents an improved forecasting model of fuzzy time series. It may predict the historical simulation data, but also may predict the unknown year data.

• Periodical: Applied Mechanics and Materials (Volume 678)
• Pages: 64-69
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.678.64
• Online since: October 2014
• Authors: Hong Xu Wang, Jian Chun Guo, Hao Feng*, Hai Long Jin
• Keywords: Difference between Enrollment Changes, Enrollment Change Difference, Forecasting Model, Fuzzy Time Series

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