期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：7-3
出版社：Seventh Sense Research Group
摘要：Forecasting of time series that have seasonal and other variations remains an important problem for forecasters. This paper presents a neural network (NN) approach along with a fuzzy time series methods to forecasting sugar production in India. The agriculture production and productivity is one of the such processes, which is not governed by any deterministic process due to highly non linearity caused by various effective production parameters like weather, rainfall, diseases, disaster ,area of cultivation etc. The study uses the fuzzy set theory and applies different fuzzy time series models to forecast the production of sugar in India. The historical data of sugar production from Food Corporation of India have been taken to investigate the results. The sugar production forecast, obtained through these models has been compared and their performance has been examined..
关键词：Fuzzy Time Series; Fuzzy Set; Production; Forecasting; Linguistic Value; high order model
