AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts. The suggested topological structure opens up the way for applying rich amount of topological facts and methods in the process of granular computing, in particular, the notion of topological membership functions is introduced that integrates the concept of rough and fuzzy sets
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
AbstractThis paper investigates the relationship between topology and generalized rough sets induced...
Abstract: Theories of rough sets and fuzzy sets are related and complementary methodologies to handl...
The main purpose of this talk is to show how some widely known and well established algebraic and to...
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
Functions are a means to link or transport from a world to another world may be similarly or complet...
The theory of rough sets is generalized by using a filter. The filter is induced by binary relations...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
Abstract—Data granulation is considered a good tool of decision making in various types of real life...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
AbstractThis paper investigates the relationship between topology and generalized rough sets induced...
Abstract: Theories of rough sets and fuzzy sets are related and complementary methodologies to handl...
The main purpose of this talk is to show how some widely known and well established algebraic and to...
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
Functions are a means to link or transport from a world to another world may be similarly or complet...
The theory of rough sets is generalized by using a filter. The filter is induced by binary relations...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
Abstract—Data granulation is considered a good tool of decision making in various types of real life...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
Rough model is proposed to build vague regions based on rough sets theory after the definition of ro...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
An outline of an algebraie generalization of the rough set theory is presented in the paper. It is s...
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