2012-2013 > Academic research: refereed > Chapter in an edited book (author)Accepted ManuscriptPublishe
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertain...
Abstract. The rough set theory was proved of its effectiveness in deal-ing with the imprecise and am...
The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
ABSTRACT. The aim of multicriteria decision aiding is to give the decision maker a recommendation co...
In this article, a new hybrid model named linear Diophantine fuzzy rough set (LDFRS) is proposed to ...
Dominance-based Rough Set Approach (DRSA) has been introduced to deal with multiple criteria classif...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
The generation of effective feature-based rules is essential to the development of any intelligent s...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertain...
Abstract. The rough set theory was proved of its effectiveness in deal-ing with the imprecise and am...
The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
ABSTRACT. The aim of multicriteria decision aiding is to give the decision maker a recommendation co...
In this article, a new hybrid model named linear Diophantine fuzzy rough set (LDFRS) is proposed to ...
Dominance-based Rough Set Approach (DRSA) has been introduced to deal with multiple criteria classif...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
AbstractWe propose a new fuzzy rough set approach which, differently from most known fuzzy set exten...
In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
The generation of effective feature-based rules is essential to the development of any intelligent s...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertain...
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