Chen’s model to understand the invariant fuzzy time series model through maize production in India
نویسندگان
چکیده
The present study has applied a time-invariant fuzzy time series model for maize Production in India. Most of the data is forecasted using AR and ARIMA models but considered Chen to understand endeavour forecast. Generally, are based on uncertainty, non-probabilistic linguistic variables. production India during 1951-2020 was divided into seven subsets. subsets equal intervals. Chen's used arithmetic operations logic relations forecasting. accuracy measured by Root Mean Square Error (1949.93) Absolute Percentage (25.86). will give impetus higher-order model.
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ژورنال
عنوان ژورنال: International journal of statistics and applied mathematics
سال: 2023
ISSN: ['2456-1452']
DOI: https://doi.org/10.22271/maths.2023.v8.i3a.980