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Cheng Fuzzy Time Series Model to Forecast the Price of Crude Oil in Malaysia
Crude oil is one of the important commodities to Malaysia. As a producer and exporter of oil and gas, Malaysia has gained high Gross Revenue from this sector. Crude oil is the global commodity and highly demanded.
Jasmani Bidin +4 more
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A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data
In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well as ...
Gholamreza Hesamian +2 more
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FUZZY MODEL FOR TIME SERIES FORECASTING
In 2007, in Kazakhstan, there was a transition of TDM (Time Division Multiplexing) circuit-switched technologies to IP (Internet Protocol) packet technology, which created a modern infrastructure for the ICT (information communication technologies ...
Zhanar Ibraeva +2 more
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Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning
Fuzzy time series (FTS) is one of the forecasting methods that has been developed until now. The fuzzy time series is a forecasting method that uses the concept of fuzzy logic, which Song and Chissom first introduced.
Susilo Hariyanto +3 more
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Forecasting Indonesian Oil, Non-Oil and Gas Import Export with Fuzzy Time Series
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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North Sumatra is a province that carries out import activities in other provinces to complement the shortage of goods in North Sumatra. Every month based on data from the Central Bureau of Statistics (BPS) of North Sumatra, the import value of North ...
Syukur Iman J. Telaumbanua, Didi Febrian
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The Application of Neural Networks to Forecast Fuzzy Time Series [PDF]
This study applies a back-propagation neural network to forecast fuzzy time series. Three models are proposed; a conventional fuzzy time series model and two hybrid models.
Amaal El Sayed Abd El Ghany Mubarak
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Rainfall Forecast in Different Methods of Trend Equations by Fuzzy Time Series
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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Time Series Analysis by Fuzzy Logic Methods
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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Polynomial Fuzzy Information Granule-Based Time Series Prediction
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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