Title :
Minimum Correlation Decision Reduct in Inconsistent Target Information Systems Based on Dominance Relation
Author :
Jing-Lan Mo ; Guang-Sheng Zhu ; Yue-jin Lv
Author_Institution :
Dept. of Basic Teaching, Lushan Coll. of Guangxi Univ. of Technol., Liuzhou, China
Abstract :
This paper introduces the concept of minimum correlation decision reduct in inconsistent target information systems based on dominance relation. Moreover the judgment theorem and discernable matrix of the minimum correlation decision reduct are obtained, from which it can effectively provide the approach to this reduction in inconsistent target information systems based on dominance relation. Finally, it illustrates that this algorithm is effective through an example. That it enrich the theory of rough set knowledge.
Keywords :
correlation theory; data reduction; decision theory; information systems; matrix algebra; rough set theory; discernable matrix; dominance relation; inconsistent target information systems; judgment theorem; minimum correlation decision reduct; Approximation methods; Correlation; Diffusion tensor imaging; Educational institutions; Information systems; Set theory; Discernible matrix; Dominance relation; Information systems; Minimum correlation decision reduct; Rough set;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.139