Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Theoretical Computer Science
Connectedness in ditopological texture spaces
Fuzzy Sets and Systems
Fuzzy sets as texture spaces: I. Representation theorems
Fuzzy Sets and Systems
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Algebraic Aspects of the Relational Knowledge Representation: Modal Relation Algebras
Proceedings of the International Workshop on Nonclassical Logics and Information Processing
Fuzzy Sets and Systems
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
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
Textural approach to generalized rough sets based on relations
Information Sciences: an International Journal
On generalizing rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Textures and covering based rough sets
Information Sciences: an International Journal
International Journal of Approximate Reasoning
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In this paper, we consider the Alexandroff topology for texture spaces. We prove that there exists a one-to-one correspondence between the Alexandroff ditopologies, and the reflexive and transitive direlations on a given texture. Using textural fuzzy direlations on a fuzzy lattice, we obtain a fuzzy rough set algebra where the inverse fuzzy relation and inverse fuzzy corelation are the upper approximation and lower approximation, respectively. In a special case, this gives us the fuzzy rough sets which are calculated with respect to the min-t norm introduced by S. Gottwald, or the fuzzy rough sets which are considered by D. Pei. (This work has been supported by the Turkish Scientific and Technological Research Council under the project TBAG 109T683.)