Title :
Research on attribute reduction algorithm based on Rough Set Theory and genetic algorithms
Author :
Xu, Xiu-Zhen ; Niu, Yi-Feng
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Rough Set Theory is used to make uncertainty description of the real world, and attribute reduction is one of the core theories of Rough Set Theory. This article elaborates on the rough set theory, studies attribute reduction algorithm combined with the genetic algorithm, and finally demonstrate the feasibility and effectiveness by using the ROSETTA software.
Keywords :
genetic algorithms; rough set theory; ROSETTA software; attribute reduction algorithm; genetic algorithm; rough set theory; Algorithm design and analysis; Decision making; Genetic algorithms; Indexes; Set theory; Software; Software algorithms; ROSETTA; attribute reduction algorithm; rough set;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010295
