On relationship between modified sets, topological spaces and rough sets
Fuzzy Sets and Systems
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
On axiomatic characterisations of crisp approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Topological approaches to covering rough sets
Information Sciences: an International Journal
Information Sciences: an International Journal
Rough fuzzy approximations on two universes of discourse
Information Sciences: an International Journal
Transformation of rough set models
Knowledge-Based Systems
A systematic study on attribute reduction with rough sets based on general binary relations
Information Sciences: an International Journal
Approximations and reducts with covering generalized rough sets
Computers & Mathematics with Applications
The algebraic structures of generalized rough set theory
Information Sciences: an International Journal
Generalized rough sets based on reflexive and transitive relations
Information Sciences: an International Journal
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
Note on "Generalized rough sets based on reflexive and transitive relations"
Information Sciences: an International Journal
Topological solution of missing attribute values problem in incomplete information tables
Information Sciences: an International Journal
On the topological properties of fuzzy rough sets
Fuzzy Sets and Systems
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
On the structure of generalized rough sets
Information Sciences: an International Journal
Rough set theory for topological spaces
International Journal of Approximate Reasoning
Approximation reduction in inconsistent incomplete decision tables
Knowledge-Based Systems
Rough implication operator based on strong topological rough algebras
Information Sciences: an International Journal
Tolerance Approximation Spaces
Fundamenta Informaticae
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In this paper, we consider some topological properties of generalized rough sets induced by binary relations and show that1.Any serial binary relation can induce a topology. 2.Let R be a binary relation on a universe U. t(R) and e(R) denote the transitive closure and the equivalence closure of R, respectively. If R is a reflexive relation on U, then R and t(R) induce the same topology, i.e. T(R)=T(t(R)). The interior and closure operators of the topology T(R) induced by R are the lower and upper approximation operators t(R) and t(R)@?, respectively. Moreover, R(T(R))=t(R), where R(T(R)) is the relation induced by the topology T(R). 3.When R is a reflexive and symmetric relation, R and e(R) induce the same topology, i.e. T(R)=T(e(R)). The interior and closure operators of the topology T(R) induced by R are the lower and upper approximation operators e(R) and e(R)@?, respectively. Moreover, R(T(R))=e(R). 4.Based on the above conclusions, the notion of topological reduction of incomplete information systems is proposed, and characterizations of reduction of consistent incomplete decision tables are obtained.