AISep 25, 2012

Some characteristics of matroids through rough sets

arXiv:1209.5473v11 citations
AI Analysis

This is an incremental theoretical contribution for researchers in rough sets and matroids, with no direct practical application mentioned.

The paper tackles the problem of combining rough set theory with matroid theory by defining a family of sets from an upper approximation operator, proving it satisfies matroid axioms to induce a support matroid, and then investigates characteristics like independent sets and bases.

At present, practical application and theoretical discussion of rough sets are two hot problems in computer science. The core concepts of rough set theory are upper and lower approximation operators based on equivalence relations. Matroid, as a branch of mathematics, is a structure that generalizes linear independence in vector spaces. Further, matroid theory borrows extensively from the terminology of linear algebra and graph theory. We can combine rough set theory with matroid theory through using rough sets to study some characteristics of matroids. In this paper, we apply rough sets to matroids through defining a family of sets which are constructed from the upper approximation operator with respect to an equivalence relation. First, we prove the family of sets satisfies the support set axioms of matroids, and then we obtain a matroid. We say the matroids induced by the equivalence relation and a type of matroid, namely support matroid, is induced. Second, through rough sets, some characteristics of matroids such as independent sets, support sets, bases, hyperplanes and closed sets are investigated.

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