A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series

Feng, Hao; Wang, Hongxu; Guo, Jianchun; Zhang, Fujin

doi:10.2991/scict-14.2014.42

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Cited by 2 publications

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Rainfall Prediction In Nagapattinam Using Fuzzy Logic

Devi

2021

J. Phys.: Conf. Ser.

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Rainfall plays a vital role in human life rather than other weather events. As the variations are unpredictable, it difficult to predict rainfall over a region, so that rainfall forecasting carried out by the metrological department has been most crucial and demanding one. Fuzzy logic models have been proposed to perform forecasting, and its prime operations are fuzzification and defuzzification. These models are simple to employ but offer better results than statistical models. The present study explores the strength of forecasting models based on fuzzy logic rules. Furthermore, predicted results are compared with the actual rainfall data.

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Rainfall Prediction In Nagapattinam Using Fuzzy Logic

Devi

2021

J. Phys.: Conf. Ser.

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Set of Fuzzy Time Series Forecasting Models Based on the Difference Rate

Zhu¹,

Wang²,

Yin³

et al. 2017

Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

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Song & Chissom introduced the concept of fuzzy time series in 1993[1], and many fuzzy time series methods have been proposed, however, the prediction accuracy is not high, among which, Jilani, Burney and Ardil (2007) proposed prediction model has achieved a high accuracy. This paper improves their predicted model, and proposed the set of fuzzy time series forecasting models Based on the difference rate, simplified as SFBDR, it contains the predicted model SFBDR (0.000001, 0.000003) and SFBDR (0.000003, 0.000001), in the historical enrollment of University of Alabama it can get the highest predicted accuracy of AFER=0% and MSE=0.

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A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series

Cited by 2 publications

References 15 publications

Rainfall Prediction In Nagapattinam Using Fuzzy Logic

Rainfall Prediction In Nagapattinam Using Fuzzy Logic

Set of Fuzzy Time Series Forecasting Models Based on the Difference Rate

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