Implementations of algorithms for data analysis
based on the rough set theory (RST) and the fuzzy rough set theory (FRST). We
not only provide implementations for the basic concepts of RST and FRST but also
popular algorithms that derive from those theories. The methods included in the
package can be divided into several categories based on their functionality:
discretization, feature selection, instance selection, rule induction and classification
based on nearest neighbors. RST was introduced by Zdzisław Pawlak in 1982
as a sophisticated mathematical tool to
model and process imprecise or incomplete information. By using
the indiscernibility relation for objects/instances, RST does not require
additional parameters to analyze the data. FRST is an extension of RST. The
FRST combines concepts of vagueness and indiscernibility that are expressed
with fuzzy sets (as proposed by Zadeh, in 1965) and RST.

c(person("Andrzej", "Janusz", role = "aut",
email = "janusza@mimuw.edu.pl"),
person("Lala Septem", "Riza", role = "aut",
email = "lala_s_riza@yahoo.com"),
person("Dominik", "Ślęzak", role = "ctb"),
person("Chris", "Cornelis", role = "ctb"),
person("Francisco", "Herrera", role = "ctb"),
person("Jose Manuel", "Benitez", role = "ctb"),
person("Christoph", "Bergmeir", role = c("ctb", "cre"),
email = "c.bergmeir@decsai.ugr.es"),
person("Sebastian", "Stawicki", role = "ctb"))
Implementations of algorithms for data analysis based on the
rough set theory (RST) and the fuzzy rough set theory (FRST). We not only
provide implementations for the basic concepts of RST and FRST but also
popular algorithms that derive from those theories. The methods included in the
package can be divided into several categories based on their functionality:
discretization, feature selection, instance selection, rule induction and
classification based on nearest neighbors. RST was introduced by Zdzisław
Pawlak in 1982 as a sophisticated mathematical tool to model and process
imprecise or incomplete information. By using the indiscernibility relation for
objects/instances, RST does not require additional parameters to analyze the
data. FRST is an extension of RST. The FRST combines concepts of vagueness and
indiscernibility that are expressed with fuzzy sets (as proposed by Zadeh, in
1965) and RST.
Andrzej Janusz [aut],
Lala Septem Riza [aut],
Dominik Ślęzak [ctb],
Chris Cornelis [ctb],
Francisco Herrera [ctb],
Jose Manuel Benitez [ctb],
Christoph Bergmeir [ctb, cre],
Sebastian Stawicki [ctb]