Package: RoughSets
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: GPL (>= 2)
Encoding: UTF-8
Title: Data Analysis Using Rough Set and Fuzzy Rough Set Theories
Authors@R: c(person("Lala Septem", "Riza", role = "aut",
email = "lala_s_riza@yahoo.com"),
person("Andrzej", "Janusz", role = "aut",
email = "janusza@mimuw.edu.pl"),
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"))
Description: 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 based on indiscernibility relations to
model and process imprecise or incomplete information. It works on
symbolic-valued datasets for tackling the data analysis problems. 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.
Version: 1.2-0
URL: http://sci2s.ugr.es/dicits/software/RoughSets
Date: 2015-03-06
Suggests: class
LinkingTo: Rcpp
Depends: Rcpp
Packaged: 2015-03-10 07:51:28 UTC; Nosferato
Author: Lala Septem Riza [aut],
Andrzej Janusz [aut],
Dominik Ślęzak [ctb],
Chris Cornelis [ctb],
Francisco Herrera [ctb],
Jose Manuel Benitez [ctb],
Christoph Bergmeir [ctb, cre],
Sebastian Stawicki [ctb]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-19 06:55:33