A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series

Abstract

This paper presents a new method of forecasting based on high-order fuzzy logical relationships in the fuzzy time series. The objective of the present study is to develop a computational method for various high orders forecasting to remove the computational drawback of the existing high-order fuzzy time series forecasting methods. The developed method has been presented in form of computational algorithm. This algorithm has been implemented in forecasting of the rice production to examine suitability of these proposed high-order forecasting models on the basis of its average forecasting errors. The forecasting accuracy of the proposed computational method is better than that of existing methods and the forecasted production is much closer to the actual production.