Výsledky vyhledávání - Type-2 algorithm Fuzzy REgression Models

A type-2 fuzzy c-regression clustering algorithm for Takagi–Sugeno system identification and its application in the steel industry Autor Fazel Zarandi, M.H., Gamasaee, R., Turksen, I.B.

“…This paper proposes a new type-2 fuzzy c-regression clustering algorithm for the structure identification phase of Takagi–Sugeno (T–S) systems…”
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An Approach Towards the Design of Interval Type-3 T-S Fuzzy System Autor Singh, Dhanjeet, Verma, Nishchal, Ghosh, Ajoy, Malagaudanavar, Appasaheb

“… Hence, IT3 FLS evolved as a successor of GT2 FLS, where secondary membership function is an interval type-2 fuzzy set (FS…”
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Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification Autor Dam, Tanmoy, Deb, Alok Kanti

“…This paper introduces an interval type-2 modified fuzzy c-regression model (IT2MFCRM) clustering algorithm for identifying the structure in TS Fuzzy Model…”
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Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers Autor Soltani, Moez, Telmoudi, Achraf Jabeur, Chaouech, Lotfi, Ali, Maaruf, Chaari, Abdelkader

“…This paper presents the development of a novel interval-valued type-2 robust fuzzy c-regression model (IVT2RFCRM…”
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Robust interval type-2 FCRM algorithm for nonlinear systems identification in a stochastic environment Autor Sameh, Khadhraoui, Chaari, Abdelkader

“…This paper investigates the sensibility of the interval type-2 fuzzy c-regression algorithm to noise and outliers…”
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A type-2 fuzzy expert system based on a hybrid inference method for steel industry Autor Fazel Zarandi, M. H., Gamasaee, R., Turksen, I. B.

“… In this model, the new interval type-2 fuzzy c-regression clustering algorithm for structure identification phase of Takagi–Sugeno…”
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Autonomous data partitioning for type-2 fuzzy set based time series Autor Vargas Pinto, Arthur C., da Silva, Larissa C. C., Silva, Petrônio C. L., Guimarães, Frederico G., de Aguiar, Eduardo P.

“… influence performance, mainly the number of fuzzy sets, model order, and membership function used. Therefore, this paper proposes ADPT2FTS, an interval type-2 FTS model that uses an Autonomous Data Partitioning Algorithm…”
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A T-S Fuzzy Model Identification Approach Based on a Modified Inter Type-2 FRCM Algorithm Autor Zou, Wen, Li, Chaoshun, Zhang, Nan

“… (T-S) fuzzy model identification compared to hyper-sphere-shaped clustering. Although some HPSC algorithms, based on type-2 fuzzy theory, have already been developed…”
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An Inter Type-2 FCR Algorithm Based T-S Fuzzy Model for Short-Term Wind Power Interval Prediction Autor Zou, Wen, Li, Chaoshun, Chen, Pengfei

“…), in which an IT-2 fuzzy c-regression algorithm is used to partition the data space and identify the fuzzy model…”
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Interval Type-2 A-Intuitionistic Fuzzy Logic for Regression Problems Autor Eyoh, Imo, John, Robert, De Maere, Geert

“… Analyses of our results reveal that IT2AIFLS outperforms its type-1 variant, other type-1 fuzzy logic approaches, and some type-2 fuzzy systems in the regression tasks…”
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T2RFIS: type-2 regression-based fuzzy inference system Autor Wiktorowicz, Krzysztof

“…This article discusses a novel type-2 fuzzy inference system with multiple variables in which no fuzzy rules are explicitly defined…”
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T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System Autor Deng, Zhaohong, Choi, Kup-Sze, Cao, Longbing, Wang, Shitong

“…A challenge in modeling type-2 fuzzy logic systems is the development of efficient learning algorithms to cope with the ever increasing size of real-world data sets…”
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More Than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems Autor Beke, Aykut, Kumbasar, Tufan

“…) fuzzy logic systems (FLSs) to train regression models with a high accuracy performance and capable of representing uncertainty…”
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A Novel Interval Type-2 Fuzzy System Identification Method Based on the Modified Fuzzy C-Regression Model Autor Tsai, Shun-Hung, Chen, Yu-Wen

“…In this article, a novel interval type-2 Takagi-Sugeno fuzzy <inline-formula> <tex-math notation="LaTeX">c </tex-math></inline-formula>-regression modeling method with a modified distance definition is proposed…”
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Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression Autor Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali, Rajendra Acharya, U.

“… The FMRIB software library toolbox first performed preprocessing on rs-fMRI data. Then, a convolutional Autoencoder model with the proposed number of layers is used to extract features from rs…”
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Modeling multi-pollutant emission concentrations in municipal solid waste incineration processes using virtual-real data-driven approach Autor Wang, Tianzheng, Tang, Jian, Aljerf, Loai, Liang, Yongqi, Qiao, Junfei

“…[Display omitted] •VSG-based enhance and expand of simulation mechanism dataset.•Virtual-real data-driven model based on numerical simulation and AI…”
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An Interval Type-2 Fuzzy-Neural Network With Support-Vector Regression for Noisy Regression Problems Autor Juang, Chia-Feng, Huang, Ren-Bo, Cheng, Wei-Yuan

“…This paper proposes an interval type-2 fuzzy-neural network with support-vector regression (IT2FNN-SVR…”
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Design of an interval Type-2 fuzzy model with justifiable uncertainty Autor Moreno, Juan E., Sanchez, Mauricio A., Mendoza, Olivia, Rodríguez-Díaz, Antonio, Castillo, Oscar, Melin, Patricia, Castro, Juan R.

“… Throughout previous design proposals of Interval Type-2 Fuzzy Logic Systems most of the research work concentrates on optimal design to best fit data behavior and rarely focus on the inner model…”
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General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model Autor Rubio-Solis, Adrian, Melin, Patricia, Martinez-Hernandez, Uriel, Panoutsos, George

“…This paper proposes a new General Type-2 Radial Basis Function Neural Network (GT2-RBFNN) that is functionally equivalent to a GT2 Fuzzy Logic System…”
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Interval type‐2 fuzzy logic with Karmen‐Mendel algorithm for sequential ionic liquid dissolution–solid acid saccharification Autor Lee, Kiat Moon, Zanil, Mohd Fauzi

“…‐2 fuzzy logic with the Karmen‐Mendel algorithm is proposed to model sequential ionic liquid dissolution…”
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