Fuzzy Rough Set Theory‐Based Feature Selection

[1]  Arunkumar Chinnaswamy,et al.  Hybrid information gain based fuzzy roughset feature selection in cancer microarray data , 2017, 2017 Innovations in Power and Advanced Computing Technologies (i-PACT).

[2]  Xizhao Wang,et al.  Attributes Reduction Using Fuzzy Rough Sets , 2008, IEEE Transactions on Fuzzy Systems.

[3]  C. Arun Kumar,et al.  A Comparative Performance Evaluation of Supervised Feature Selection Algorithms on Microarray Datasets , 2017 .

[4]  Xizhao Wang,et al.  Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets , 2018, IEEE Transactions on Fuzzy Systems.

[5]  Xiao Zhang,et al.  A fuzzy rough set-based feature selection method using representative instances , 2018, Knowl. Based Syst..

[6]  D. Molodtsov Soft set theory—First results , 1999 .

[7]  D. Dubois,et al.  ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .

[8]  Michel Verleysen,et al.  Mutual information for feature selection with missing data , 2011, ESANN.

[9]  Huan Liu,et al.  Feature Selection for Classification , 1997, Intell. Data Anal..

[10]  Rozaida Ghazali,et al.  Extracting Information in Agricultural Data Using Fuzzy-Rough Sets Hybridization and Clonal Selection Theory Inspired Algorithms , 2016, Int. J. Pattern Recognit. Artif. Intell..

[11]  Ahmad Jahan Latibari,et al.  EVALUATION AND IDENTIFICATION OF WALNUT HEARTWOOD EXTRACTIVES FOR PROTECTION OF POPLAR WOOD , 2011 .

[12]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[13]  Didier Dubois,et al.  Putting Rough Sets and Fuzzy Sets Together , 1992, Intelligent Decision Support.

[14]  Andrzej Skowron,et al.  The Discernibility Matrices and Functions in Information Systems , 1992, Intelligent Decision Support.

[15]  Sankar K. Pal,et al.  Unsupervised feature evaluation: a neuro-fuzzy approach , 2000, IEEE Trans. Neural Networks Learn. Syst..

[16]  T. K. Ghoshal,et al.  Fuzzy tolerance relation, fuzzy tolerance space and basis , 1998, Fuzzy Sets Syst..

[17]  Qinghua Hu,et al.  On Robust Fuzzy Rough Set Models , 2012, IEEE Transactions on Fuzzy Systems.

[18]  Fei Chao,et al.  Feature Selection Inspired Classifier Ensemble Reduction , 2014, IEEE Transactions on Cybernetics.

[19]  Mohammed Elmogy,et al.  A framework for harmla alkaloid extraction process development using fuzzy-rough sets feature selection and J48 classification , 2017 .

[20]  Javad Hamidzadeh,et al.  Detection of Web site visitors based on fuzzy rough sets , 2018, Soft Comput..

[21]  Wei Wei,et al.  Fuzzy rough approximations for set-valued data , 2016, Inf. Sci..

[22]  The countability aspects of fuzzy soft topological spaces , 2015 .

[23]  S. Ramakrishnan,et al.  Attribute selection using fuzzy roughset based customized similarity measure for lung cancer microarray gene expression data , 2018, Future Computing and Informatics Journal.

[24]  A. R. Roy,et al.  Soft set theory , 2003 .

[25]  Hans-Peter Kriegel,et al.  A survey on unsupervised outlier detection in high‐dimensional numerical data , 2012, Stat. Anal. Data Min..

[26]  Rajen B. Bhatt,et al.  FRCT: fuzzy-rough classification trees , 2007, Pattern Analysis and Applications.

[27]  C. Cornelis,et al.  Vaguely Quantified Rough Sets , 2009, RSFDGrC.

[28]  C. Mohan Raj,et al.  Diagnosis of medical dataset using fuzzy-rough ordered weighted average classification , 2017, 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

[29]  Richard Jensen,et al.  Towards scalable fuzzy-rough feature selection , 2015, Inf. Sci..

[30]  Hossein Nezamabadi-pour,et al.  Using fuzzy-rough set feature selection for feature construction based on genetic programming , 2018, 2018 3rd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).

[31]  Bharti,et al.  A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI , 2018, Comput. Methods Programs Biomed..

[32]  Xiao Zhang,et al.  Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy , 2016, Pattern Recognit..

[33]  Chris Cornelis,et al.  Semi-Supervised Fuzzy-Rough Feature Selection , 2015, RSFDGrC.

[34]  Ansheng Deng,et al.  Network Intrusion Detection Using Kernel-based Fuzzy-rough Feature Selection , 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[35]  Ansheng Deng,et al.  A Laplace distribution-based fuzzy-rough feature selection algorithm , 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).

[36]  Yun Wang,et al.  Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis , 2019, Comput. Math. Methods Medicine.

[37]  Srinivasan Ramakrishnan,et al.  Prediction of cancer using customised fuzzy rough machine learning approaches , 2019, Healthcare technology letters.

[38]  Shunxiang Wu,et al.  Feature selection for multi-label learning based on kernelized fuzzy rough sets , 2018, Neurocomputing.

[39]  ChenDegang,et al.  Feature selection in mixed data , 2016 .

[40]  Ching-Hsue Cheng,et al.  Entropy-based fuzzy rough classification approach for extracting classification rules , 2006, Expert Syst. Appl..

[41]  Qinghua Hu,et al.  Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation , 2007, Pattern Recognit..

[42]  S. Ramakrishnan,et al.  A hybrid approach to feature selection using correlation coefficient and fuzzy rough quick reduct algorithm applied to cancer microarray data , 2016, 2016 10th International Conference on Intelligent Systems and Control (ISCO).

[43]  Degang Chen,et al.  Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models , 2014, IEEE Transactions on Fuzzy Systems.

[44]  Witold Pedrycz,et al.  Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification , 2016, IEEE Transactions on Cybernetics.

[45]  Masaharu Mizumoto,et al.  Some Properties of Fuzzy Sets of Type 2 , 1976, Inf. Control..

[46]  A. Sunny Kuriakose,et al.  A novel feature selection method using fuzzy rough sets , 2018, Comput. Ind..

[47]  Xizhao Wang,et al.  Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach , 2010, IEEE Transactions on Knowledge and Data Engineering.

[48]  Qiang Shen,et al.  Fuzzy-rough data reduction with ant colony optimization , 2005, Fuzzy Sets Syst..

[49]  Qinghua Hu,et al.  Feature and instance reduction for PNN classifiers based on fuzzy rough sets , 2014, International Journal of Machine Learning and Cybernetics.

[50]  Chris Cornelis,et al.  International Journal of Approximate Reasoning Multi-adjoint Fuzzy Rough Sets: Definition, Properties and Attribute Selection , 2022 .

[51]  Jianhua Dai,et al.  Fuzzy rough set model for set-valued data , 2013, Fuzzy Sets Syst..

[52]  Chun Yong Wang A note on a fuzzy rough set model for set-valued data , 2016, Fuzzy Sets Syst..

[53]  Witold Pedrycz,et al.  Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets , 2018, IEEE Transactions on Fuzzy Systems.

[54]  Hong Chen,et al.  Fuzzy Rough Based Feature Selection by Using Random Sampling , 2018, PRICAI.

[55]  Mohammad Masoud Javidi,et al.  Diagnosis of the disease using an ant colony gene selection method based on information gain ratio using fuzzy rough sets , 2017 .

[56]  Carla E. Brodley,et al.  Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..

[57]  George J. Klir,et al.  Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems - Selected Papers by Lotfi A Zadeh , 1996, Advances in Fuzzy Systems - Applications and Theory.

[58]  Shivam Shreevastava,et al.  Enhanced Prediction for Piezophilic Protein by Incorporating Reduced Set of Amino Acids Using Fuzzy-Rough Feature Selection Technique Followed by SMOTE , 2018 .

[59]  Chris Cornelis,et al.  Distributed fuzzy rough prototype selection for Big Data regression , 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

[60]  Jie Li,et al.  Grooming Detection using Fuzzy-Rough Feature Selection and Text Classification , 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[61]  Qinghua Hu,et al.  Information-preserving hybrid data reduction based on fuzzy-rough techniques , 2006, Pattern Recognit. Lett..

[62]  Chris Cornelis,et al.  Hybrid fuzzy-rough rule induction and feature selection , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[63]  S. Srinivas Kumar,et al.  A Survey of Feature Selection Techniques in Intrusion Detection System: A Soft Computing Perspective , 2018 .

[64]  Qiang Shen,et al.  Fuzzy-Rough Sets Assisted Attribute Selection , 2007, IEEE Transactions on Fuzzy Systems.

[65]  Changjing Shang,et al.  Fuzzy-rough feature selection aided support vector machines for Mars image classification , 2013, Comput. Vis. Image Underst..

[66]  Chris Cornelis,et al.  Fuzzy-Rough Hybridization , 2015, Handbook of Computational Intelligence.

[67]  Sankar K. Pal,et al.  Fuzzy rough sets, and a granular neural network for unsupervised feature selection , 2013, Neural Networks.

[68]  Xiaoning Zhu,et al.  Combining Fuzzy C-Means Clustering with Fuzzy Rough Feature Selection , 2019, Applied Sciences.

[69]  Francisco Herrera,et al.  IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification , 2015, IEEE Transactions on Fuzzy Systems.

[70]  Qinghua Hu,et al.  A Fitting Model for Feature Selection With Fuzzy Rough Sets , 2017, IEEE Transactions on Fuzzy Systems.

[71]  Hossam Faris,et al.  Feature Selection Using Salp Swarm Algorithm with Chaos , 2018, ISMSI '18.

[72]  Qiang Shen,et al.  Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring , 2004, Pattern Recognit..

[73]  Francisco Herrera,et al.  Fuzzy rough classifiers for class imbalanced multi-instance data , 2016, Pattern Recognit..

[74]  Aytug Onan,et al.  A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer , 2015, Expert Syst. Appl..

[75]  Qiang Shen,et al.  Interval-valued fuzzy-rough feature selection in datasets with missing values , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[76]  Soumitra Dutta,et al.  Fuzzy rough granular neural networks, fuzzy granules, and classification , 2011, Theor. Comput. Sci..

[77]  Krassimir T. Atanassov,et al.  Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.

[78]  Mohammad Ali Zare Chahooki,et al.  A Survey on semi-supervised feature selection methods , 2017, Pattern Recognit..

[79]  Paolo Remagnino,et al.  Fuzzy-rough based decision system for gait adopting instance selection , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[80]  Ansheng Deng,et al.  Associated multi-label fuzzy-rough feature selection , 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

[81]  Rajen B. Bhatt,et al.  On fuzzy-rough sets approach to feature selection , 2005, Pattern Recognit. Lett..

[82]  Connie M. Rhee,et al.  Low‐protein diet for conservative management of chronic kidney disease: a systematic review and meta‐analysis of controlled trials , 2017, Journal of cachexia, sarcopenia and muscle.

[83]  Andrzej Skowron,et al.  Rudiments of rough sets , 2007, Inf. Sci..

[84]  Qinghua Hu,et al.  Soft fuzzy rough sets for robust feature evaluation and selection , 2010, Inf. Sci..

[85]  Chris Cornelis,et al.  Fuzzy-rough nearest neighbour classification and prediction , 2011, Theor. Comput. Sci..

[86]  Richard Jensen,et al.  Simultaneous feature and instance selection using fuzzy-rough bireducts , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[87]  Dun Liu,et al.  A fuzzy rough set approach for incremental feature selection on hybrid information systems , 2015, Fuzzy Sets Syst..

[88]  Qiang Shen,et al.  Centre for Intelligent Systems and Their Applications Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Sets and Systems ( ) – Fuzzy–rough Attribute Reduction with Application to Web Categorization , 2022 .

[89]  Xibei Yang,et al.  Dynamic updating multigranulation fuzzy rough set: approximations and reducts , 2014, International Journal of Machine Learning and Cybernetics.

[90]  Qiang Shen,et al.  Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches , 2008, IEEE Press series on computational intelligence.

[91]  Richard Jensen,et al.  Unsupervised fuzzy-rough set-based dimensionality reduction , 2013, Inf. Sci..

[92]  Jinung An,et al.  Efficient classification system based on Fuzzy-Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal , 2015, Expert Syst. Appl..

[93]  Francisco Herrera,et al.  On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection , 2012, Soft Computing.

[94]  Mehran Amiri,et al.  Missing data imputation using fuzzy-rough methods , 2016, Neurocomputing.

[95]  Richard Jensen,et al.  Fuzzy-rough feature selection using flock of starlings optimisation , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[96]  Wei-Zhi Wu,et al.  Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets , 2018, IEEE Transactions on Fuzzy Systems.

[97]  Qian Guo,et al.  A new fuzzy-rough feature selection algorithm for mammographic risk analysis , 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

[98]  Su Pan,et al.  Fuzzy-Rough Instance Selection Combined with Effective Classifiers in Credit Scoring , 2018, Neural Processing Letters.

[99]  Pan Su,et al.  Ordered weighted aggregation of fuzzy similarity relations and its application to detecting water treatment plant malfunction , 2017, Eng. Appl. Artif. Intell..

[100]  Xiao Zhang,et al.  A Fast Feature Selection Algorithm by Accelerating Computation of Fuzzy Rough Set-Based Information Entropy , 2018, Entropy.

[101]  Damodar Reddy Edla,et al.  RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease , 2017, Appl. Soft Comput..

[102]  Degang Chen,et al.  Fuzzy rough set based attribute reduction for information systems with fuzzy decisions , 2011, Knowl. Based Syst..

[103]  Wolfgang Meier,et al.  Highly permeable polymeric membranes based on the incorporation of the functional water channel protein Aquaporin Z , 2007, Proceedings of the National Academy of Sciences.

[104]  Richard Jensen,et al.  Measures for Unsupervised Fuzzy-Rough Feature Selection , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

[105]  Jianhua Dai,et al.  Dominance-based fuzzy rough set approach for incomplete interval-valued data , 2018, J. Intell. Fuzzy Syst..

[106]  Qiang Shen,et al.  Tolerance-based and Fuzzy-Rough Feature Selection , 2007, 2007 IEEE International Fuzzy Systems Conference.

[107]  Xizhao Wang,et al.  FRSVMs: Fuzzy rough set based support vector machines , 2010, Fuzzy Sets Syst..

[108]  Jianhua Dai,et al.  Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification , 2013, Appl. Soft Comput..

[109]  Jiye Liang,et al.  Fuzzy-rough feature selection accelerator , 2015, Fuzzy Sets Syst..

[110]  C. A. Murthy,et al.  Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[111]  Ming-Wen Shao,et al.  Fuzzy rough set-based attribute reduction using distance measures , 2019, Knowl. Based Syst..

[112]  Yuwen Li,et al.  Attribute reduction for multi-label learning with fuzzy rough set , 2018, Knowl. Based Syst..