On relationship between modified sets, topological spaces and rough sets
Fuzzy Sets and Systems
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
Generalized rough sets based on reflexive and transitive relations
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
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Fuzzy Sets and Systems
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
A study on relationship between fuzzy rough approximation operators and fuzzy topological spaces
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Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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Information Sciences: an International Journal
Communication between information systems with covering based rough sets
Information Sciences: an International Journal
Topological properties of the pessimistic multigranulation rough set model
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Knowledge-Based Systems
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Transactions on Rough Sets XVI
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Rough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vague information. The core concepts of rough set theory are information systems and approximation operators of approximation spaces. Approximation operators draw close links between rough set theory and topology. This paper concerns generalized approximation spaces via topological methods and studies topological properties of rough sets. Classical separation axioms, compactness and connectedness for topological spaces are extended to generalized approximation spaces. Relationships among separation axioms for generalized approximation spaces and relationships between topological spaces and their induced generalized approximation spaces are investigated. An example is given to illustrate a new approach to recover missing values for incomplete information systems by regularity of generalized approximation spaces.