2009•Journal of Taiyuan University of Science and TechnologyRequires access

Attribute Reduction for Incomplete Decision Systems Based on Discernibility Vector

Yang Haifeng

Abstract

Discernibility matrix based on rough set theory is an important content for attribute reduction of information system.In this paper,a new concept of discernibility matrix to incomplete decision systems is proposed,and the construction method of discernibility matrix is given.The concept of discernibility vector is proposed based on the sparsity of discernibility matrix.An algorithm of attribute reduction of decison system is further proposed and its efficiency is verified through experiments.

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Key concepts: Rough set, Reduction (mathematics), Matrix (chemical analysis), Mathematics, Decision table, Set (abstract data type), Algorithm, Data mining