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RoughSets  

Data Analysis Using Rough Set and Fuzzy Rough Set Theories
View on CRAN: Click here


Download and install RoughSets package within the R console
Install from CRAN:
install.packages("RoughSets")

Install from Github:
library("remotes")
install_github("cran/RoughSets")

Install by package version:
library("remotes")
install_version("RoughSets", "1.3-8")



Attach the package and use:
library("RoughSets")
Maintained by
Christoph Bergmeir
[Scholar Profile | Author Map]
First Published: 2014-02-04
Latest Update: 2024-01-23
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 Zdzislaw 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.
How to cite:
Christoph Bergmeir (2014). RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories. R package version 1.3-8, https://cran.r-project.org/web/packages/RoughSets. Accessed 08 Apr. 2025.
Previous versions and publish date:
1.0-0 (2014-02-04 18:38), 1.1-0 (2014-06-19 13:14), 1.2-0 (2015-03-19 06:55), 1.2-1 (2015-03-24 07:29), 1.3-0 (2015-09-05 09:37), 1.3-7 (2019-12-15 07:30)
Other packages that cited RoughSets R package
View RoughSets citation profile
Other R packages that RoughSets depends, imports, suggests or enhances
Complete documentation for RoughSets
Functions, R codes and Examples using the RoughSets R package
Some associated functions: A.Introduction-RoughSets . B.Introduction-FuzzyRoughSets . BC.IND.relation.FRST . BC.IND.relation.RST . BC.LU.approximation.FRST . BC.LU.approximation.RST . BC.boundary.reg.RST . BC.discernibility.mat.FRST . BC.discernibility.mat.RST . BC.negative.reg.RST . BC.positive.reg.FRST . BC.positive.reg.RST . C.FRNN.FRST . C.FRNN.O.FRST . C.POSNN.FRST . D.discretization.RST . D.discretize.equal.intervals.RST . D.discretize.quantiles.RST . D.global.discernibility.heuristic.RST . D.local.discernibility.heuristic.RST . FS.DAAR.heuristic.RST . FS.all.reducts.computation . FS.feature.subset.computation . FS.greedy.heuristic.reduct.RST . FS.greedy.heuristic.superreduct.RST . FS.nearOpt.fvprs.FRST . FS.one.reduct.computation . FS.permutation.heuristic.reduct.RST . FS.quickreduct.FRST . FS.quickreduct.RST . FS.reduct.computation . IS.FRIS.FRST . IS.FRPS.FRST . MV.conceptClosestFit . MV.deletionCases . MV.globalClosestFit . MV.missingValueCompletion . MV.mostCommonVal . MV.mostCommonValResConcept . RI.AQRules.RST . RI.CN2Rules.RST . RI.GFRS.FRST . RI.LEM2Rules.RST . RI.hybridFS.FRST . RI.indiscernibilityBasedRules.RST . RI.laplace . RoughSetData . RoughSets-package . SF.applyDecTable . SF.asDecisionTable . SF.asFeatureSubset . SF.read.DecisionTable . X.entropy . X.gini . X.laplace . X.nOfConflicts . X.ruleStrength . X.rulesCounting . as.character.RuleSetRST . as.list.RuleSetRST . predict.RuleSetFRST . predict.RuleSetRST . print.FeatureSubset . print.RuleSetRST . sub-.RuleSetRST . summary.IndiscernibilityRelation . summary.LowerUpperApproximation . summary.PositiveRegion . summary.RuleSetFRST . summary.RuleSetRST . 
Some associated R codes: BasicFuzzyRoughSets.R . BasicRoughSets.OtherFuncCollections.R . BasicRoughSets.R . Discretization.OtherFuncCollections.R . Discretization.R . FeatureSelection.OtherFuncCollections.R . FeatureSelection.R . FuzzyRoughSets-introduction.R . IOFunctions.R . InstanceSelection.OtherFuncCollections.R . InstanceSelection.R . MissingValue.R . NearestNeigbour.OtherFuncCollections.R . NearestNeigbour.R . RcppExports.R . RoughSets-introduction.R . RoughSets-package.R . RuleInduction.OtherFuncCollections.R . RuleInduction.R . docData.R .  Full RoughSets package functions and examples
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