Preliminary Theory of Set SDR of Fuzzy Time Series Forecasting Model
Abstract
In the past 23 years, many fuzzy time series forecasting models have studied the forecasting problem for registration number of University of Alabama. But the prediction accuracy of existing forecasting models is not ideal. This paper proposes set SDR in the differential rate domain of Fuzzy time series forecasting model and proves Any Accuracy Theorem of SDR. It makes this problem get initial solution. Introducing appropriate definitions, SDR(ï ) (ï ≤0.004) is the standard fuzzy time series forecasting model, and it can be used for general research of time series prediction.
Keywords
Fuzzy time series forecasting method, SDR, Difference rate, Suitable prediction model, Forecasting function SDR(ï ).
DOI
10.12783/dtcse/mcsse2016/10978
10.12783/dtcse/mcsse2016/10978
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