1. Prediction of wheat production in India through fuzzy time series.
- Author
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Priyadarshini, E., Premalathasri, R., and Vidhya, M.
- Subjects
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FORECASTING , *CLOUDINESS , *AMBIGUITY , *TIME series analysis - Abstract
Wheat is the main growing cereal crop in India. For the country, designing, estimating productivity is the important tool for predicting the production of wheat to determine the circumstances that would be the value of production upcoming year. Fuzzy time series deals with the problems associated with unpredictability ambiguousness and cloudiness. In this study enlargement of fuzzy time series variant model is used in forecasting wheat production. The data of previous years from 2000 to 2021 was taken for analysis and the proposed method on fuzzy time series estimates future events' precision rate. The suggested method used the percentage change as the Universe of Discourse and Average-based Partitioning. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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