In this paper, we present some new ideas for fuzzy reasoning from the viewpoint of fuzzy rough set. After introducing the existing research of fuzzy rough sets, we show that the well-known CRI method in fuzzy reasoning is just a special upper approximation operator in fuzzy rough set theory. We also develop some practical methods for fuzzy system by using lower approximation operators in fuzzy rough sets and compare them with the existing methods for fuzzy systemDepartment of ComputingRefereed conference pape
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In practice, some of information systems are based on dominance relations, and values of decision at...
AbstractIn this paper, we study the fuzzy reasoning based on a new fuzzy rough set. First, we define...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
AbstractIn this paper, we study the fuzzy reasoning based on a new fuzzy rough set. First, we define...
AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing wi...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In practice, some of information systems are based on dominance relations, and values of decision at...
AbstractIn this paper, we study the fuzzy reasoning based on a new fuzzy rough set. First, we define...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
AbstractIn this paper, we study the fuzzy reasoning based on a new fuzzy rough set. First, we define...
AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing wi...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In practice, some of information systems are based on dominance relations, and values of decision at...