Axial Piston Pump Fault Diagnosis Method Based on Symmetrical Polar Coordinate Image and Fuzzy C-Means Clustering Algorithm by Wan-lu Jiang, Pei-yao Zhang, Man Li, Shu-qing Zhang

“…Their multiple eigenvalues were extracted, and the eigenvectors consisting of multiple eigenvalues were classified by Fuzzy C-Means clustering algorithm. Finally, according to the accuracy of classification results, the feasibility of applying the symmetric polar coordinate method to axial piston pump fault diagnosis has been validated.…”
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Fine-grained image classification using the MogaNet network and a multi-level gating mechanism by Dahai Li, Su Chen

“…Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ResultsAfter training on the dataset, various classification methods were evaluated on the test set, including the fuzzy rank-based method and state-of-the-art large language models. …”
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MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets by Dong Zhang, Xiang Huang, Gen Li, Shengjie Kong, Liang Dong

“…Then, the fuzzy rough instance selection (FRIS) method is used to eliminate the subsets of synthetic minority samples with low clustering membership, which effectively reduces the overfitting tendency of minority samples caused by synthetic oversampling. …”
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Machine learning classification algorithm screening for the main controlling factors of heavy oil CO2 huff and puff by Peng-xiang Diwu, Beichen Zhao, Hangxiangpan Wang, Chao Wen, Siwei Nie, Wenjing Wei, A-qiao Li, Jingjie Xu, Fengyuan Zhang

“…However, the effectiveness of this method varies significantly under different geological and fluid conditions, which leads to a high-dimensional and small-sample (HDSS) dataset. It is difficult for conventional techniques that identify key factors that influence CO2 huff and puff effects, such as fuzzy mathematics, to manage HDSS datasets, which often contain nonlinear and irremovable abnormal data. …”
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Multisensor Fault Diagnosis of Rolling Bearing with Noisy Unbalanced Data via Intuitionistic Fuzzy Weighted Least Squares Twin Support Higher-Order Tensor Machine by Shengli Dong, Yifang Zhang, Shengzheng Wang

“…Second, the adaptive sample-weighting mechanism is developed: an intuitionistic fuzzy membership score assignment scheme with global–local information fusion is proposed. …”
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Automatic Grading of Emperor Apples Based on Image Processing and by Hadis Havaskhan, Hossein Javadikia, Sajad Sabzi, Yousef Abbaspour-gilandeh, Yousef Abbaspour-gılandeh, Hossein Javadıkıa, Hadis Havaskhan

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Method of thromboembolism prediction in advanced atherosclerosis by A. V. Bykov

“…Due to difficulties of separating more heterogeneous groups with a small sample, RP was synthesized according to the atherosclerosis severity classification using SC technology. …”
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The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces by Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li, Jinhai Wang, Jiangbo Pu

“…<b>Results:</b> The findings indicate that sample entropy (16.3%), Shannon entropy (13%), fuzzy entropy (12%), permutation entropy (9.8%), and approximate entropy (7.6%) are the most frequently utilized entropy features in MI-BCI. …”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…At the same time, on the basis of the previous data processing, the fuzzy set classification method is used to build the model, and the learning model is more close to different types of well production, which enhances the applicability of the model in the field practice. …”
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Hydrogeochemical insights for sustainable irrigation: A case study from the Palar River Basin, Tamil Nadu by Sakshi Dange, Kumaraguru Arumugam, Sai Saraswathi Vijayaraghavalu

“…Kuppam blocks of Tamil Nadu, India. 132 groundwater samples were examined through multivariate statistical analysis, hydrogeochemical facies interpretation, and Fuzzy Inference Systems (FIS), which helps to combine Mamdani logic-based models to ensure accurate water quality classification. …”
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Refuse-Derived Fuel with the Addition of Peanut Shells: An Evaluation Using a Decision-Making Support Algorithm by Natália Dadario, Mário Mollo Neto, Felipe André dos Santos, Luís Roberto Almeida Gabriel Filho, Camila Pires Cremasco

“…In this context, a mathematical model based on fuzzy logic was developed to classify RDF quality and support decision-making. …”
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Adaptive Track Association Method Based on Automatic Feature Extraction by Zhaoyue Zhang, Guanting Dong, Chenghao Huang

“…The proposed method employs LCSS to measure the similarity between two types of trajectories and categorizes tracks into three groups—definite associations, definite nonassociations, and fuzzy associations—using a similarity matrix and an adaptive sample classification model (adaptive classification model). …”
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Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques by Vassilis S. Kodogiannis, Abeer Alshejari

“…In parallel, the classification rate for the grouping of the testing samples into three classes was perfect. …”
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Adaptive learning on mobile network traffic data by Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Deyu Tang

“…The concept drift detection method relies on the data distribution instead of the classification error rate. Furthermore, the weights of flow samples are dynamically updated and flow samples are resampled for training a new model when a concept drift is detected. …”
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Identification of water sources of mine water bursts based on the FPS-DT model by Kaide Liu, Yu xia, Xiaolong Li, Chaowei Sun, Wenping Yue, Qiyu Wang, Songxin Zhao, Shufeng Chen

“…Abstract To effectively identify the source of water in coal mines and prevent water-related accidents, this paper utilises the hydrochemical characteristics of the aquifers Shanxi Hanzui Coal Mine. The fuzzy C-means (FCM) clustering method is employed to classify water sample data, followed by principal component analysis (PCA) for dimensionality reduction to extract key features. …”
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Mechanical safety assessment method for transmission towers based on improved reliability theory by Zhengdao Zhou, Linfeng Zhang, Zhiyu Shang, Wang Zhang, Qianwen Wang, Zhengfa Li

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Assessing The Impact of Wastewater Outfalls Pollution Points on The WQI of Qilyasan Stream in Sulaymaniyah, Kurdistan Region, Iraq, Using FL Modelling. by Helin Qais Hussein, Zeren Jamal Ghafoor

“…MATLAB R2022b was used to develop the fuzzy model. Five stations in the stream were selected for sampling. …”
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Study on lithology identification using a multi-objective optimization strategy to improve integrated learning models: a case study of the Permian Lucaogou Formation in the Jimusae... by Xili Deng, Jiahong Li, Junkai Chen, Cheng Feng

“…The challenge in shale reservoirs lies in the similar logging response characteristics of different lithologies and the imbalanced data scale, leading to fuzzy lithology classification boundaries and increased difficulty in identification. …”
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Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

“…The weighting method combining the analytic hierarchy process (AHP) and fuzzy evaluation method (FEM) was used to establish classification standards for extraction performance. …”
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