One Approach to Semi-structured Time Series Forecasting

Ramin Rzayev, Musa Agamaliyev,

Abstract

By specific example of the semi-structured time series there are considered known fuzzy forecasting models which differ in rules of fuzzification and/or defuzzification. In the context of this study this paper presents a new approach to defuzzification of outputs of fuzzy time series on the base of applying the fuzzy set point-estimation method. As compared with some well-known defuzzification rules proposed method improves the statistical quality of semistructured time series forecasting