Attribute reduction in inconsistent formal decision contexts based on congruence relations-Reference-Cited by-同舟云学术

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Attribute reduction in inconsistent formal decision contexts based on congruence relations

Published:2016-08-31 Issue:1 Volume:8 Page:81-94
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Li Jun-Yu,Wang Xia,Wu Wei-Zhi,Xu You-Hong

Funder

the Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-016-0586-z.pdf

Reference66 articles.

1. Ashfaq RAR, Wang XZ, Huang JZX, He YL (2016) Fuzziness based semi-supervised learning approach for intrusion detection system. Inf Sci. doi: 10.1016/j.ins.2016.04.019

2. Dias SM, Vieira NJ (2015) Concept lattices reduction: definition, analysis and classification. Expert Syst Appl 42:7084–7097

3. Cornejo ME, Medina J, Ramirez E (2015) Attribute reduction in multi-adjoint concept lattices. Inf Sci 294(2):41–56

4. Du WS, Hu BQ (2016) Attribute reduction in ordered decision tables via evidence theory. Inf Sci 364–365:91–110

5. Duntsch I, Gediga G (2003) Approximation operators in qualitative data analysis. Lect Notes Comput Sci 2929:214–230

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