2012
DOI: 10.1155/2012/973920
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Matroidal Structure of Rough Sets from the Viewpoint of Graph Theory

Abstract: Constructing structures with other mathematical theories is an important research field of rough sets. As one mathematical theory on sets, matroids possess a sophisticated structure. This paper builds a bridge between rough sets and matroids and establishes the matroidal structure of rough sets. In order to understand intuitively the relationships between these two theories, we study this problem from the viewpoint of graph theory. Therefore, any partition of the universe can be represented by a family of comp… Show more

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Cited by 30 publications
(15 citation statements)
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References 31 publications
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“…Matroids have been applied to diverse fields such as algorithm design [1], combinatorial optimization [4]. Recently, matroids have been combined with rough sets [2,6,7,8,10].…”
Section: Introductionmentioning
confidence: 99%
“…Matroids have been applied to diverse fields such as algorithm design [1], combinatorial optimization [4]. Recently, matroids have been combined with rough sets [2,6,7,8,10].…”
Section: Introductionmentioning
confidence: 99%
“…As one of the three branches of granular computing, rough set theory is first proposed by Pawlak [20,21] for dealing with vagueness and granularity in information systems. In theory, rough sets have been connected with matroids [10,14,18,27,29,30,37,47], lattices [5,8,16,31], hyperstructure theory [35], topology [12,13,44], fuzzy sets [11,32], and so on. Rough set theory is built on equivalence relations or partitions.…”
Section: Introductionmentioning
confidence: 99%
“…Rough set theory, proposed by Pawlak [11,12], is an extension of set theory for the study of intelligent systems characterized by insufficient and incomplete information. In theory, rough sets have been connected with matroids [13,16], lattices [3,4,9,15], hyperstructure theory [18], topology [6,7,21], fuzzy sets [5,17], and so on. Rough set theory is built on an equivalence relation, or to say, on a partition.…”
Section: Introductionmentioning
confidence: 99%