Robust fuzzy rough classifiers
References (56)
- et al.
Soft fuzzy rough sets for robust feature evaluation and selection
Information Sciences
(2010) - et al.
Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
Pattern Recognition
(2007) - et al.
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
(2006) - et al.
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
(1998) - et al.
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
(1997) - et al.
Rudiments of rough sets
Information Sciences
(2007) - et al.
Rough sets: some extensions
Information Sciences
(2007) - et al.
Rough sets and boolean reasoning
Information Sciences
(2007) - et al.
Positive approximation: an accelerator for attribute reduction in rough set theory
Artificial Intelligence
(2010) - et al.
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
(2002)
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
A rough-fuzzy approach for generating classification rules
Pattern Recognition
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences
Generalized fuzzy rough sets
Information Sciences
A computational approach to fuzzy quantifiers in natural languages
Computers and Mathematics with Applications
Fast outlier detection in high dimensional spaces
FRCT: fuzzy-rough classification trees
Pattern Analysis and Applications
Support vector machine soft margin classifiers: error analysis
Journal of Machine Learning Research
Outlier detection with the kernelized spatial depth function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vaguely quantified rough sets
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Rough fuzzy sets and fuzzy rough sets
International Journal of General Systems
A density-based algorithm for discovering clusters in large spatial databases with noise
Noise tolerant classification by chi emerging patterns
Cited by (51)
Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection
2023, Fuzzy Sets and SystemsA relative uncertainty measure for fuzzy rough feature selection
2021, International Journal of Approximate ReasoningCitation Excerpt :For classification tasks, fuzzy rough set (FRS) theory is a popular mathematical tool for uncertainty measure [9]. This theory is extensively used in machine learning algorithms such as data reduction [16][26][28][29][34], classification [4][5][13][34] and regression [1]. To improve the generalization of classical FRSs in measuring the uncertainty of data, a series of FRS models are proposed, namely variable precision-based FRSs [32][35], fuzzy quantified rough sets [6], soft FRSs [12][13], robust statistics-based FRSs [14], and granular computing theory-based FRSs [3][10].
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
2021, Fuzzy Sets and SystemsAttribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
2021, Applied Soft ComputingKey energy-consumption feature selection of thermal power systems based on robust attribute reduction with rough sets
2020, Information SciencesCitation Excerpt :Zhao et al. and Lynn et al. proposed a variable precision fuzzy rough set model [25,36], and designed a more robust attribute reduction [23,37]. Hu et al. proposed softening the distance to calculate the membership degree [13,14], and designed robust fuzzy rough classifiers [12]. Hu et al. studied the instability of the lower approximation calculation caused by the disturbance of the indiscernible relation in rough sets [10,11].
Intuitionistic fuzzy TOPSIS method based on CVPIFRS models: An application to biomedical problems
2020, Information Sciences