Results 11 to 20 of about 300,156 (297)
Forecasting Indonesian Oil, Non-Oil and Gas Import Export with Fuzzy Time Series
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 Indonesia is active in export and import activities. Some of the commodities traded are oil and gas, as well as food and other industrial materials. Export and import activities play a role in determining the stability of the country's economy seen from ...
Syalam Ali Wira Dinata +2 more
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Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series
Ratio Mathematica, 2023 Fuzzy time series models have been put forward for Rainfall Prediction from many researchers around the globe. Fuzzy time series methods do not require any assumptions valid for classic time series approaches.
D Rajan, R Sugunthakunthalambigai
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Polynomial Fuzzy Information Granule-Based Time Series Prediction
Mathematics, 2022 Fuzzy information granulation transfers the time series analysis from the numerical platform to the granular platform, which enables us to study the time series at a different granularity. In previous studies, each fuzzy information granule in a granular
Xiyang Yang +3 more
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Time Series Analysis by Fuzzy Logic Methods
Algorithms, 2023 The method of analyzing data known as Discrete Mathematical Analysis (DMA) incorporates fuzzy mathematics and logic. This paper focuses on applying DMA to study the morphology of time series by utilizing the language of fuzzy mathematics.
Sergey M. Agayan +4 more
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Time series forecasting using a TSK fuzzy system tuned with simulated annealing [PDF]
, 2010 In this paper, a combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system.
Almaraashi, Majid +3 more
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Fuzzy time series analysis: Expanding the scope with fuzzy numbers
International Journal of Approximate Reasoning, 2023 Funding for open access charge: Universidad de Málaga ...
Hugo J. Bello +3 more
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E-Jurnal Matematika, 2023 Forecasting is a way to predict future events. One of the methods for forecasting is to use fuzzy time series Chen method. Fuzzy time series Chen is a development of fuzzy time series Song and Chissom method with more simplified arithmetic operations. In
ULYATIL AENI +2 more
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Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2019 Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993.
K.G., Tay +3 more
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A combined robust fuzzy time series method for prediction of time series [PDF]
Neurocomputing, 2017 Outlier(s) have an adverse impact on the performance of fuzzy time series models.We proposed a combined robust fuzzy time series model (C-R-FTSM).C-R-FTSM uses fuzzy inputs composed of membership values as well as the crisp data.Training process of C-R-FTSM is performed by PSO in a single optimization process.Huber's loss function based on M estimator ...
Yolcu, Ozge Cagcag, Lam, Hak-Keung
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Fuzzy time series Markov Chain and Fuzzy time series Chen & Hsu for forecasting
Journal of Physics: Conference Series, 2021 Abstract Fuzzy time series theory is a concept of artificial intelligence that can use to conduct forecasting technique.. This paper discusses the fuzzy logic concept to develop the base of the fuzzy time series with time invariant and time variant methods. There are several methods of fuzzy time series, including Markov Chain method and
null Zaenurrohman +2 more
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