an improved attributes reduction algorithm is given based on the approximation quality of a single attribute and the modified discernibility matrix due to Hu.It is shown that the presented algorithm is of lower computational complexity than Jelonek's algorithm.
Survey on Attribute Reduction Algorithm of Rough Set
Boundary Thinking for Cognitive Uncertainty Problems
Study on Visual Navigation in Dynamic Environment Based on Finite-State Rough Set Theory
Analysis of Several Reduction Standards and Their Relationship for Inconsistent Decision Table
Rough Set Based Multi-Class Core Vector Machine
Related Author
ZHOU Tao
LU Hui-ling
HUO Bing-qiang
REN Hai-ling
WANG Guo-yin
CHENG Yun-long
GAO Man
ZHAO Fan
Related Institution
School of Computer Science and Engineering, North Minzu University
School of Science, Ningxia Medical University
Key Laboratory of Images & Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University
The First People’s Hospital of Yinchuan City
Chongqing Key Laboratory of Brain-Inspired Cognitive Computing and Educational Rehabilitation for Children with Special Needs, Chongqing Normal University