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Improving Indiscernibility Matrix Based Approach for Attribute Reduction

  • Piotr HońkoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9436)

Abstract

The problem of finding all reducts of the attribute set of a data table has often been studied in rough set theory by using the notion of discernibility matrix. An alternative version based on the indiscernibility matrix has been used for this problem to a lesser extent due to its space and time complexity. This paper improves the indiscernibility matrix based approach for computing all reducts. Only indiscernibility matrix cells as well as subsets of the attribute set necessary for computing reducts are processed. The experiments reported in this paper show that the improved version uses less memory to store partial results and can find reducts in a shorter time.

Keywords

Rough sets Attribute reduction Indiscernibility matrix 

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© Springer International Publishing Switzerland 2015

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Authors and Affiliations

  1. 1.Faculty of Computer ScienceBialystok University of TechnologyBiałystokPoland

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