ESTIMATION OF ERROR USING VARIOUS MEASURES OF AVERAGES IN FORECASTING PROBLEMS
In general, there are many number of types to forecast items like weather, temperature, fuel, gold rate, enrollments and the economy. Depending on the forecasting results, people can very easily get benefits out of the forecasting activity. This paper presents a modified higher-order fuzzy logical relationship as per Root Mean Square Error using different averages like Arithmetic, Geometric, Harmonic, Heronian and Root Mean Square. This proposed method has maximum predicting accuracy rate when compared to the already present methods .
Keywords: Fuzzy time series, Fuzzy set, Forecasting and Fuzzy Relationship.