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For:	Qian Y, Liang J, Wei W. Consistency-preserving attribute reduction in fuzzy rough set framework. INT J MACH LEARN CYB 2013;4:287-99. [DOI: 10.1007/s13042-012-0090-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]

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Cited by Other Article(s)

Yuan Z, Chen H, Xie P, Zhang P, Liu J, Li T. Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2021.107353] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]

Jiang Z, Liu K, Song J, Yang X, Li J, Qian Y. Accelerator for crosswise computing reduct. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2020.106740] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]

Chen Y, Liu K, Song J, Fujita H, Yang X, Qian Y. Attribute group for attribute reduction. Inf Sci (N Y) 2020. [DOI: 10.1016/j.ins.2020.05.010] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]

Rao X, Liu K, Song J, Yang X, Qian Y. Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-191633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]

Accelerator for multi-granularity attribute reduction. Knowl Based Syst 2019. [DOI: 10.1016/j.knosys.2019.04.014] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]

Ju H, Yang X, Yu H, Li T, Yu DJ, Yang J. Cost-sensitive rough set approach. Inf Sci (N Y) 2016. [DOI: 10.1016/j.ins.2016.01.103] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]

Decision-theoretic rough set: A multicost strategy. Knowl Based Syst 2016. [DOI: 10.1016/j.knosys.2015.09.011] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]

A comparison of three types of rough fuzzy sets based on two universal sets. INT J MACH LEARN CYB 2015. [DOI: 10.1007/s13042-015-0327-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]

Gong Z, Zhang X. Variable precision intuitionistic fuzzy rough sets model and its application. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0162-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]

Surface roughness prediction in end milling process using intelligent systems. INT J MACH LEARN CYB 2013. [DOI: 10.1007/s13042-013-0155-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]