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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Design of Granular Takagi–Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 5, pp. 2499-2509
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

An overview of granular computing in decision-making: Extensions, applications, and challenges
Jindong Qin, Luis Martı́nez, Witold Pedrycz, et al.
Information Fusion (2023) Vol. 98, pp. 101833-101833
Closed Access | Times Cited: 31
Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network
Guolian Hou, Jian Xiong, Guiping Zhou, et al.
Energy (2021) Vol. 234, pp. 121231-121231
Closed Access | Times Cited: 40
Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy
Fan Bu, Congcong Zhang, Eun-Hu Kim, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111403-111403
Closed Access | Times Cited: 5
Granular Models and Granular Outliers
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 6, pp. 3835-3846
Closed Access | Times Cited: 46
Finite-time event-triggered output feedback H∞ control for nonlinear systems via interval type-2 Takagi-Sugeno fuzzy systems
Wenting Song, LI Xiao-mei, Shaocheng Tong
Information Sciences (2022) Vol. 592, pp. 67-81
Closed Access | Times Cited: 22
Rule-Based Modeling With DBSCAN-Based Information Granules
Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 7, pp. 3653-3663
Closed Access | Times Cited: 42
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering
Xingchen Hu, Yinghua Shen, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 7, pp. 6406-6419
Closed Access | Times Cited: 30
Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation
Xiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 6, pp. 2056-2064
Closed Access | Times Cited: 21
A design of fuzzy rule-based classifier optimized through softmax function and information entropy
Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111498-111498
Closed Access | Times Cited: 3
A Development of Granular Input Space in System Modeling
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 3, pp. 1639-1650
Closed Access | Times Cited: 33
Dissolved Oxygen Model Predictive Control for Activated Sludge Process Model Based on the Fuzzy C-means Cluster Algorithm
Minghe Li, Saifei Hu, Jianwei Xia, et al.
International Journal of Control Automation and Systems (2020) Vol. 18, Iss. 9, pp. 2435-2444
Closed Access | Times Cited: 27
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules
Xingchen Hu, Xinwang Liu, Witold Pedrycz, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 11, pp. 11642-11655
Closed Access | Times Cited: 18
Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process
Jie Hu, Min Wu, Luefeng Chen, et al.
Journal of Process Control (2022) Vol. 111, pp. 97-105
Closed Access | Times Cited: 16
Information Granule Based Uncertainty Measure of Fuzzy Evidential Distribution
Qianli Zhou, Witold Pedrycz, Yingying Liang, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 12, pp. 4385-4396
Closed Access | Times Cited: 9
A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees
Xiubin Zhu, Xingchen Hu, Lan Yang, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 5, pp. 2976-2986
Closed Access | Times Cited: 3
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble
Yang Liu, Jun Zhao, Wei Wang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 4, pp. 874-888
Closed Access | Times Cited: 24
A design of information granule-based under-sampling method in imbalanced data classification
Tianyu Liu, Xiubin Zhu, Witold Pedrycz, et al.
Soft Computing (2020) Vol. 24, Iss. 22, pp. 17333-17347
Closed Access | Times Cited: 19
Construction and Evaluation of Information Granules: From the Perspective of Clustering
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Systems Man and Cybernetics Systems (2020) Vol. 52, Iss. 3, pp. 2024-2037
Closed Access | Times Cited: 16
Development and Analysis of Neural Networks Realized in the Presence of Granular Data
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 9, pp. 3606-3619
Closed Access | Times Cited: 15
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 7, pp. 7029-7038
Closed Access | Times Cited: 13
Privacy-Preserving Construction of Ellipsoidal Granular Descriptors Based on Horizontal Federated Gustafson–Kessel Algorithm
Zhenzhong Liu
International Journal of Fuzzy Systems (2024) Vol. 26, Iss. 6, pp. 2097-2108
Closed Access | Times Cited: 1
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 12, pp. 3845-3858
Open Access | Times Cited: 11
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework
Yan Li, Xingchen Hu, Witold Pedrycz, et al.
Applied Soft Computing (2022) Vol. 134, pp. 109958-109958
Closed Access | Times Cited: 7
Fuzzy rule-based models for home energy consumption prediction
Peng Nie, Michèle Roccotelli, Maria Pia Fanti, et al.
Energy Reports (2022) Vol. 8, pp. 9279-9289
Open Access | Times Cited: 6
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models
Dan Wang, Xiubin Zhu, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110482-110482
Closed Access | Times Cited: 3
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