{"title":"Principal Component Analysis With Fuzzy Elastic Net for Feature Selection","authors":"Yunlong Gao;Qinting Wu;Zhenghong Xu;Chao Cao;Jinyan Pan;Guifang Shao;Feiping Nie;Qingyuan Zhu","doi":"10.1109/TFUZZ.2024.3466926","DOIUrl":"10.1109/TFUZZ.2024.3466926","url":null,"abstract":"Feature selection serves as a fundamental technique in machine learning and data analysis, playing a crucial role in extracting valuable features from large-scale and high-dimensional datasets that may contain irrelevant features. To enhance the performance of feature selection, regularizers like \u0000<inline-formula><tex-math>${ell _{1}}$</tex-math></inline-formula>\u0000-norm or \u0000<inline-formula><tex-math>${ell _{2,1}}$</tex-math></inline-formula>\u0000-norm are commonly utilized to encourage sparsity. Nonetheless, these traditional regularization techniques encounter certain challenges. When correlations exist among features, the sparsity-driven regularization can unfairly diminish weights of correlated features to zero, thus ignoring the feature correlations and lacking group sparsity properties. While a straightforward combination of \u0000<inline-formula><tex-math>${ell _{1}}$</tex-math></inline-formula>\u0000-norm and \u0000<inline-formula><tex-math>${ell _{2}}$</tex-math></inline-formula>\u0000-norm can uncover feature correlations, it lacks adaptability and effectively balancing sparsity and correlation. To address these challenges, we introduce a novel matrix-based regularization term, called a fuzzy elastic net, in the unsupervised feature selection model. Our model is founded on principal component analysis, a well-established dimensionality reduction technique adept at finding subspaces that retain most information from raw data. The model is enhanced by a fuzzy elastic net, which promotes group or sparsity properties through adaptive parameter tuning. The new regularization term introduces a flexible fuzzy weighted scheme combining the \u0000<inline-formula><tex-math>${ell _{2,2}}$</tex-math></inline-formula>\u0000-norm and \u0000<inline-formula><tex-math>${ell _{2,p}}$</tex-math></inline-formula>\u0000-norm (\u0000<inline-formula><tex-math>$0< pleq 1$</tex-math></inline-formula>\u0000). This approach allows adaptive adjustment based on data characteristics, offering a tunable balance between selecting discriminative features and identifying correlated ones. Consequently, this regularization term equips the model to handle diverse data analysis tasks flexibly, thereby enhancing adaptability and generalization performance. Furthermore, we propose an efficient optimization strategy to solve this model. Extensive experiments conducted on UCI datasets and real-world datasets demonstrate the effectiveness and efficiency of our proposed method.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 12","pages":"6878-6890"},"PeriodicalIF":10.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disturbance Suppression for Fuzzy Repetitive-Control Systems Using an Enhanced Equivalent-Input-Disturbance Method","authors":"Manli Zhang, Chengda Lu, Shengnan Tian, Yibing Wang, Min Wu, Makoto Iwasaki","doi":"10.1109/tfuzz.2024.3507009","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3507009","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"10 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, Cristiano Premebida
{"title":"Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems","authors":"Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, Cristiano Premebida","doi":"10.1109/tfuzz.2024.3506122","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3506122","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"7 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142718238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Fuzzy Tracking Control for a class of Uncertain Nonlinear Systems with Improved Prescribed Performance","authors":"Faxiang Zhang, Pengshuai Dai, Jing Na, Guanbin Gao, Yu Shi, Fei Liu","doi":"10.1109/tfuzz.2024.3506818","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3506818","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"80 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142712468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault Detection for Interval Type-2 Fuzzy Markov Jump Systems With Medium Access Constraints and False Data Injection Attacks","authors":"Li-Xiang Feng, Guang-Hong Yang","doi":"10.1109/tfuzz.2024.3505197","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3505197","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"255 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time Series Forecasting Based on Improved Multi-Linear Trend Fuzzy Information Granules for Convolutional Neural Networks","authors":"Ronghua Zhang, Jianming Zhan, Weiping Ding, Witold Pedrycz","doi":"10.1109/tfuzz.2024.3504486","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3504486","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"181 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wasserstein Distributionally Robust Equilibrium Optimization Under Random Fuzzy Environment for the Electric Vehicle Routing Problem","authors":"Fanghao Yin, Yi Zhao","doi":"10.1109/tfuzz.2024.3504822","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3504822","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"23 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}