Results 11 to 20 of about 34,857 (308)
Peramalan Data IHSG Menggunakan Fuzzy Time Series
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Fuzzy time series merupakan salah satu metode soft computing yang telah digunakan dan diterapkan dalam analisis data runtun waktu. Tujuan utama dari fuzzy time series adalah untuk memprediksi data runtun waktu yang dapat digunakan secara luas ...
Seng Hansun
doaj +3 more sources
Time Series Prediction by Perturbed Fuzzy Model. [PDF]
, 2007 This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The underlying mechanism governing the time series, expressed as a set of IF–THEN rules, is discovered by a modified structure of fuzzy system in order to capture the temporal ...
Salgado, Paulo +2 more
openaire +2 more sources
Numerical: Jurnal Matematika dan Pendidikan Matematika, 2023 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
doaj +1 more source
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
doaj +1 more source
The Application of Neural Networks to Forecast Fuzzy Time Series [PDF]
The Egyptian Statistical Journal, 2015 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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +1 more source
On-line evolution of Takagi-Sugeno fuzzy models [PDF]
, 2004 Evolving Takagi-Sugeno (eTS) fuzzy models and the method for their on-line identification has been recently introduced for both MISO and MIMO case. In this paper, the mechanism for rule-base evolution, one of the central points of the algorithm together ...
Angelov, Plamen +7 more
core +1 more source