Novel approaches for air temperature prediction: A comparison of four hybrid evolutionary fuzzy models
Sign Up to like & getrecommendations! Published in 2019 at "Meteorological Applications"
DOI: 10.1002/met.1817
Abstract: The application of a novel method of adaptive neuro‐fuzzy inference system (ANFIS) for the prediction of air temperature is investigated. The paper discusses the improvement of the ANFIS when used with genetic algorithm (GA), particle… read more here.
Keywords: prediction; fuzzy models; air temperature; air ... See more keywords
Diagnosing the ADHD Using a Mixture of Expert Fuzzy Models
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0285-7
Abstract: Screening and timely diagnosis of children with attention-deficit/hyperactivity disorder (ADHD) are currently an important challenge in studies of children’s ethology for increasing community mental health. Nevertheless, most studies on ADHD employed self-report questionnaires in which… read more here.
Keywords: mixture expert; fuzzy models; stand alone; diagnosing adhd ... See more keywords
Value Function Computation in Fuzzy Models by Differential Evolution
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0308-z
Abstract: In this paper, we show that the possibilistic mean values produce computation results that may differ in a nontrivial may from those obtained with the fuzzy extension principle. The evidence is carried out by comparing… read more here.
Keywords: computation; fuzzy; fuzzy models; computation fuzzy ... See more keywords
Design of Stabilizers and Observers for a Class of Multivariable T–S Fuzzy Models on the Basis of New Interpolation Functions
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2017.2786244
Abstract: An approach to design stabilizers and observers for a class of multiple-input multiple-output (MIMO) Takagi–Sugeno (T–S) fuzzy models is developed on the basis of local gains and the searching for a set of interpolation functions… read more here.
Keywords: design stabilizers; fuzzy models; interpolation functions; observers class ... See more keywords
An Enhanced Input-Delay Approach to Sampled-Data Stabilization for Nonlinear Stochastic Singular Systems Based on T-S Fuzzy Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3098336
Abstract: The sampled-data stabilization problem of nonlinear stochastic singular systems on the basis of the Takagi–Sugeno fuzzy models under variable samplings is discussed in this article. A new piecewise Lyapunov–Krasovskii functional is constructed, which can capture… read more here.
Keywords: stochastic singular; data stabilization; singular systems; nonlinear stochastic ... See more keywords
Discrete and Fuzzy Models of Time Series in the Tasks of Forecasting and Diagnostics
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DOI: 10.3390/axioms9020049
Abstract: The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the… read more here.
Keywords: time series; proposed methods; fuzzy models; time ... See more keywords
Intelligent Fuzzy Models: WM, ANFIS, and Patch Learning for the Competitive Forecasting of Environmental Variables
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15108032
Abstract: This paper focuses on the application of fuzzy modeling methods in the field of environmental engineering. Since predicting meteorological data is considered to be a challenging task, the current work aimed to assess the performance… read more here.
Keywords: patch learning; wind speed; forecasting; root mean ... See more keywords