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On fuzzy-rough sets approach to feature selection

机译：基于模糊粗糙集的特征选择方法

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Rajen B. Bhatt; M. Gopal;
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年度 2005
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1. On fuzzy-rough sets approach to feature selection [J] . Rajen B. Bhatt, M. Gopal Pattern recognition letters . 2005,第7期

机译：基于模糊粗糙集的特征选择方法
2. An intuitionistic fuzzy-rough set model and its application to feature selection [J] . Tiwari Anoop Kumar, Shreevastava Shivam, Subbiah Karthikeyan, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第5期

机译：一种直觉模糊粗糙集模型及其应用选择
3. A framework for harmla alkaloid extraction process development using fuzzy-rough sets feature selection and J48 classification [J] . Farid A. Badria, Mohamed M. Abu Habib, Nora Shoaip, International Journal of Advanced Computer Research . 2017,第33期

机译：基于模糊粗糙集特征选择和J48分类的harmla生物碱提取工艺开发框架
4. Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection [C] . Soumen Ghosh, P.S.V.S. Sai Prasad, C. Raghavendra Rao International conference on pattern recognition and machine intelligence . 2017

机译：基于模糊粗糙集的特征选择三阶向后消除方法
5. Feature selection from huge feature sets in the context of computer vision. [D] . Bins Filho, Jose Carlos. 2000

机译：在计算机视觉的背景下从庞大的功能集中选择功能。
6. An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach [O] . Zhila Esna Ashari, Nairanjana Dasgupta, Kelly A. Brayton, 2012

机译：基于多级特征选择方法预测一组子集的IV型分泌系统效应蛋白的一组最佳特征
7. Prediction of Breast Cancer through Tolerance-based Intuitionistic Fuzzy-rough Set Feature Selection and Artificial Neural Network [O] . Ercan CELIK, Naiyer Mohammadi LANBARAN 2021

机译：通过基于公差的直觉模糊粗糙集特征选择和人工神经网络预测乳腺癌

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