Results 221 to 230 of about 24,963,085 (287)
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FuBiNFS – fuzzy biclustering neuro-fuzzy system
Fuzzy Sets and Systems, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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European Journal of Operational Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amo A +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amo A +3 more
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Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
IEEE Transactions on Cybernetics, 2020A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by merging the Takagi–Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature nodes of BLS with a group of TS fuzzy subsystems, and the input data are processed ...
Shuang Feng, C. Chen
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Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
IEEE transactions on fuzzy systems, 2021This article investigates an adaptive practical fixed-time control strategy for the output tracking control of a class of strict feedback nonlinear systems.
Ming Chen, Huanqing Wang, Xiaoping Liu
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Recent advances in neuro-fuzzy system: A survey
Knowledge-Based Systems, 2018Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific and engineering areas due to its effective learning and reasoning capabilities.
K. Shihabudheen, G. Pillai
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Probabilistic Fuzzy Systems as Additive Fuzzy Systems
2014Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the estimation of the output’s conditional probability density ...
Almeida, R.J. +3 more
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Engineering applications of artificial intelligence, 2020
The hybrid of AHP and TOPSIS has led researchers to integrate the combination with different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy set is an extension of the fuzzy set, which is effective in handling ...
Manoj Mathew, R. Chakrabortty, M. Ryan
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The hybrid of AHP and TOPSIS has led researchers to integrate the combination with different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy set is an extension of the fuzzy set, which is effective in handling ...
Manoj Mathew, R. Chakrabortty, M. Ryan
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IEEE transactions on fuzzy systems, 2021
In this article, the sliding mode control issue is investigated for a class of discrete-time Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based technique.
Jing Wang +4 more
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In this article, the sliding mode control issue is investigated for a class of discrete-time Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based technique.
Jing Wang +4 more
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A Novel Mixed Control Approach for Fuzzy Systems via Membership Functions Online Learning Policy
IEEE transactions on fuzzy systems, 2022This article focuses on the $\mathcal {L}_{2}-\mathcal {L} _{\infty}/ \mathcal {H}_{\infty}$ optimization control issue for a family of nonlinear plants by Takagi–Sugeno (T–S) fuzzy approach with actuator failure.
Yingnan Pan +3 more
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IEEE Transactions on Cybernetics, 2020
This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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This article investigates the adaptive fuzzy output-feedback backstepping control design problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual and actual control gain functions and unmeasurable states.
Shaocheng Tong, Xiao Min, Yuanxin Li
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