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Cited by 6
Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems
Zhi-qiang Feng, Cun-gen Liu
https://doi.org/10.1109/ICICISYS.2010.5658737
Conference:  (2010), p. 814
Many-Valued Rough Sets Based on Tied Implications
Moataz El-Zekey
https://doi.org/10.1007/978-3-319-11740-9_3
Book:  Lecture Notes in Computer Science (Rough Sets and Knowledge Technology) Volume 8818 (2014), p. 27
2010 International Conference on Intelligent System Design and Engineering Application
Zhi-qiang Feng, Cun-gen Liu
https://doi.org/10.1109/ISDEA.2010.338
Conference:  (2010), p. 1028
H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus
Rahman Ali, Jamil Hussain, Muhammad Siddiqi, Maqbool Hussain, Sungyoung Lee
https://doi.org/10.3390/s150715921
Journal:  Sensors Volume 15, Issue 7 (2015), p. 15921
On vague logics and approximate reasoning based on vague linear transformation
Zhi-Qiang Feng, Cun-Gen Liu
https://doi.org/10.1080/00207721.2010.549579
Journal:  International Journal of Systems Science Volume 43, Issue 9 (2012), p. 1591
Three-way weighted combination-entropies based on three-layer granular structures
Wang Jun, Tang Lingyu, Zhang Xianyong, Luo Yuyan
https://doi.org/10.21042/AMNS.2017.2.00027
Journal:  Applied Mathematics and Nonlinear Sciences Volume 2, Issue 2 (2017), p. 329


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