A compact Crank–Nicholson scheme for the numerical solution of fuzzy time fractional diffusion equations
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04148-2
Abstract: Fuzzy fractional partial differential equations are a generalization of classical fuzzy partial differential equation which can, in certain circumstances, provide a better explanation for certain phenomena. In this paper, a compact Crank–Nicholson scheme is developed,… read more here.
Keywords: nicholson scheme; scheme; compact crank; crank nicholson ... See more keywords
A Novel Moving Average Forecasting Approach Using Fuzzy Time Series Data Set
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-019-00467-w
Abstract: In this study, we develop a novel moving average forecasting approach based on fuzzy time series data set. The main objective of applying this moving average approach in develop method is to provide better results… read more here.
Keywords: fuzzy time; moving average; series data; time series ... See more keywords
Finite-time dissipative control of uncertain singular T–S fuzzy time-varying delay systems subject to actuator saturation
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-020-01183-x
Abstract: This paper investigates the dissipative-based finite-time control for uncertain singular T–S fuzzy time-varying delay system affected by actuator saturation. First, the concept of dissipative stability and finite-time bound is presented. Then an appropriate Lyapunov–Krasovskii functional… read more here.
Keywords: finite time; uncertain singular; singular fuzzy; control uncertain ... See more keywords
A new hybrid fuzzy time series model with an application to predict PM10 concentration.
Sign Up to like & getrecommendations! Published in 2021 at "Ecotoxicology and environmental safety"
DOI: 10.1016/j.ecoenv.2021.112875
Abstract: Fuzzy time series (FTS) forecasting models show a great performance in predicting time series, such as air pollution time series. However, they have caused major issues by utilizing random partitioning of the universe of discourse… read more here.
Keywords: proposed model; fuzzy time; time series; time ... See more keywords
Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.03.081
Abstract: We propose a combined method that is based on the fuzzy time series (FTS) and convolutional neural networks (CNN) for short-term load forecasting (STLF). Accordingly, in the proposed method, multivariate time series data which include… read more here.
Keywords: time; time series; combined method; load ... See more keywords
A second-order fuzzy time series model for stock price analysis
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1601163
Abstract: It is difficult to model stock market because of its uncertainty. Many methods have been introduced to tackle these difficulties, in which fuzzy time series has shown its advantages in dealing with fuzzy and uncertainty… read more here.
Keywords: fuzzy time; stock; time series; stock price ... See more keywords
Prediction of university fund revenue and expenditure based on fuzzy time series with a periodic factor
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DOI: 10.1371/journal.pone.0286325
Abstract: Financial management and decision-making of universities play an essential role in their development. Predicting fund revenue and expenditure of universities can provide a necessary basis for funds risk prevention. For the lack of solid data… read more here.
Keywords: time series; fuzzy time; fund; prediction ... See more keywords
Effect of Fuzzy Time Series on Smoothing Estimation of the INAR(1) Process
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11090423
Abstract: In this paper, the effect of fuzzy time series on estimates of the spectral, bispectral and normalized bispectral density functions are studied. This study is conducted for one of the integer autoregressive of order one… read more here.
Keywords: fuzzy time; inar; time series; effect fuzzy ... See more keywords