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A Feature Selection Algorithm Based on Discernibility Matrix

2007
A heuristic algorithm of reduct computation for feature selection is proposed in the paper, which is a discernibility matrix based method and aims at reducing the number of irrelevant and redundant features in data mining. The method used both significance information of attributes and information of discernibility matrix to define the necessity of ...
Fuyan Liu, Shaoyi Lu
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Incremental Target Recognition Algorithm Based on Improved Discernibility Matrix

2005
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. Some comparable experiments have been completed in our “Information Fusion System for Communication Interception Information (IFS/CI2)”.
Liu Yong   +3 more
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A Discernibility Matrix Based Algorithm for Feature Selection

2006 International Conference on Computational Intelligence and Security, 2006
An algorithm of reduct computation for feature selection is proposed in the paper, which is a discernibility matrix based method and aims at reducing the number of irrelevant and redundant features in data mining. The method used both significance information of attributes and information of discernibility matrix to define the necessity of heuristic ...
openaire   +1 more source

Granular computing-based binary discernibility matrix attribute reduction algorithm

2008 7th World Congress on Intelligent Control and Automation, 2008
Granular computing (GrC) fuses theoretical research results such as rough sets, fuzzy sets, word computing, quotient space and interval computing. GrC is a new hotspot in artificial intelligence and information processing. Layer viewpoint is a concept in GrC and multi-layer GrC has great significance in the problem solving and knowledge structure of ...
null Jun Xie   +3 more
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Attribute Reduction in Concept Lattice Based on Discernibility Matrix

2005
As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. One of the key problems of knowledge discovery is knowledge reduction. This paper studies attribute reduction in concept lattice. Using the idea similar to Skowron and Rauszer's discernibility matrix, the discernibility matrix and function of ...
Wen-Xiu Zhang, Ling Wei, Jian-Jun Qi
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Output Discernibility of Topological Variations in Linear Dynamical Networks

IEEE Transactions on Automatic Control
The conditions under which topological variations in networked linear dynamical systems can be discerned from their outputs are investigated. The output-indiscernible space is completely characterized without conditions imposed on the topology matrix. It
Ziye Fan   +3 more
semanticscholar   +1 more source

A Symbolic Representation for Discernibility Matrix in Rough Set

Advanced Science and Technology Letters, 2014
Generating discernibility matrix consumes huge time and space .To solve this problem, A new Binary Discernibility Matrix (BDM) induced from information table is defined, The concept of Binary Conjunction Matrix(BCM) is then introduced, Finally A novel method for discernibility matrix using Ordered binary decision diagrams(OBDD) is proposed in this ...
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Notice of Retraction: Attribute reduction based on improved discernibility matrix

2010 2nd International Conference on Computer Engineering and Technology, 2010
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.
null Zhou Peng   +2 more
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A Simplified Discernibility Matrix of the Attribute Reduction Method

2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, 2010
According to existing have defects discernibility matrix, and the attribute reduction algorithm for attribute reduction algorithm of complex process. This paper made part of optimization, based on the condition attributes classify the grouping generated representative data to simplify the discernibility matrix, and the order of the discernibility ...
Weilai Hao, Xuebin Zhang
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