Title :
Notice of Retraction
Attribute reduction based on improved discernibility matrix
Author :
Zhou Peng ; Li Zhishu ; Huang Zhiguo
Author_Institution :
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The attribute reduction based on information entropy is different to that based on positive region in inconsistent information system. The problem of discernibility matrix in algebra view is analyzed, and an new discernibility matrix based on information entropy is proposed in this paper. This algorithm considers whether the objects compared are consistent, analyses in detail the degree of inconsistency and the distributing proportion of their conditional equivalent classes in decision classes, and the reduction based on information entropy is acquired finally. The theoretic analysis and simulation instance shows that this algorithm is feasible and effective in practice.
Keywords :
entropy; information systems; matrix algebra; rough set theory; attribute reduction; discernibility matrix; inconsistency degree; inconsistent information system; information entropy; Algebra; Algorithm design and analysis; Analytical models; Computer science; Educational institutions; Information analysis; Information entropy; Information systems; Matrices; Set theory; attribute reduction; discernibility matrix; information entropy; rough set;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485838
