2023 - Research.com Computer Science in Canada Leader Award
While working on this project, Yiyu Yao studies both Artificial intelligence and Rough set. He integrates many fields, such as Rough set and Granular computing, in his works. His Artificial intelligence research extends to the thematically linked field of Granular computing. His Programming language study frequently involves adjacent topics like Set (abstract data type). His work in Set (abstract data type) is not limited to one particular discipline; it also encompasses Programming language.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Relational interpretations of neighborhood operators and rough set approximation operators
Y. Y. Yao.
Information Sciences (1998)
Three-way decisions with probabilistic rough sets
Yiyu Yao.
Information Sciences (2010)
Constructive and algebraic methods of the theory of rough sets
Y. Y. Yao.
Information Sciences (1998)
MGRS: A multi-granulation rough set
Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang.
Information Sciences (2010)
Two views of the theory of rough sets in finite universes
Y.Y. Yao.
International Journal of Approximate Reasoning (1996)
A decision theoretic framework for approximating concepts
Y. Y. Yao;S. K. M. Wong.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (1992)
Information Granulation and Rough Set Approximation
Y. Y. Yao.
International Journal of Intelligent Systems (2001)
Attribute reduction in decision-theoretic rough set models
Yiyu Yao;Yan Zhao.
Information Sciences (2008)
Generalization of Rough Sets using Modal Logics
Y.Y. Yao;T.Y. Lin.
Intelligent Automation and Soft Computing (1996)
The superiority of three-way decisions in probabilistic rough set models
Yiyu Yao.
Information Sciences (2011)
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