A Revised Fuzzy Time Series Method
In this paper,we presents two methods to forecast secular trend and seasonal variation time series problems respectively. The revised fuzzy time series method uses Song and Chrisom’s first-order time-invariant model to predict such linguistic historical data problems. This method obtains a better average error than the error in Song and Chrisom’s method. The method using fuzzy regression theory solves the shortcoming that fuzzy time series method could not work in dealing with seasonal variation time series problems.
Zhihua Xu, Gang Shen and Sally Lin
Y. H. Yu and L. X. Song, "A Revised Fuzzy Time Series Method", Advanced Materials Research, Vols. 171-172, pp. 140-143, 2011