A New Forecasting Model of Fuzzy Time Series

Abstract:

Classical time series model can efficiently handle many forecasting problems, but these models can not solves the forecasting problem in which values of the time series are represented by language values or fuzzy sets. Song and Chissom and many other scholars put forward many models, and these models can only forecast research about historical data. This paper presents a new fuzzy time series forecasting model which can predict the data of unknown years.

• Periodical: Applied Mechanics and Materials (Volume 678)
• Pages: 59-63
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.678.59
• Online since: October 2014
• Authors: Hong Xu Wang, Jian Chun Guo, Hao Feng*, Hai Long Jin
• Keywords: Data of the Unknown Years, Forecasting, Fuzzy, Inverse Fuzzy Number, Time Series

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