Data Analysis Using Rough Set and Fuzzy Rough Set Theories.

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Documentation for package ‘RoughSets’ version 1.1-0

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A.Introduction-RoughSets-package Introduction to Rough Set Theory
B.Introduction-FuzzyRoughSets-package Introduction to Fuzzy Rough Set Theory
RoughSets-package Getting started with the RoughSets package
A.Introduction-RoughSets Introduction to Rough Set Theory
B.Introduction-FuzzyRoughSets Introduction to Fuzzy Rough Set Theory
BC.discernibility.mat.FRST The decision-relative discernibility matrix based on fuzzy rough set theory
BC.discernibility.mat.RST The decision-relative discernibility matrix based on rough set theory
BC.IND.relation.FRST The indiscernibility relation based on fuzzy rough set theory
BC.IND.relation.RST Indiscernibility relation based on rough set theory
BC.LU.approximation.FRST The fuzzy lower and upper approximations based on fuzzy rough set theory
BC.LU.approximation.RST The lower and upper approximations based on rough set
BC.positive.reg.FRST Positive region based on fuzzy rough set
BC.positive.reg.RST Regions based on rough set theory
C.FRNN.FRST The fuzzy-rough nearest neighbor algorithm
C.FRNN.O.FRST The fuzzy-rough ownership nearest neighbor algorithm
C.POSNN.FRST The positive region based fuzzy-rough nearest neighbor algorithm
D.discretization.RST The wrapper function of discretization methods
D.discretize.equal.intervals.RST The "equal interval size" discretization algorithm
D.discretize.quantiles.RST The "quantile-based" discretization algorithm
D.global.discernibility.heuristic.RST The global maximum discernibility heuristic
D.local.discernibility.matrix.RST The local strategy algorithm
D.max.discernibility.matrix.RST The maximal discernibility algorithm
FS.all.reducts.computation The function for computing all reducts
FS.feature.subset.computation The superreduct computation based on RST and FRST
FS.greedy.heuristic.reduct.RST The greedy heuristic algorithm for determining a reduct
FS.greedy.heuristic.superreduct.RST The greedy heuristic method for determining superreduct based on RST
FS.nearOpt.fvprs.FRST The near-optimal reduction algorithm based on fuzzy rough set theory
FS.one.reduct.computation The function for computing one reducts
FS.permutation.heuristic.reduct.RST The permutation heuristic algorithm for determining a reduct
FS.quickreduct.FRST The fuzzy QuickReduct algorithm based on FRST
FS.quickreduct.RST QuickReduct algorithm based on RST
FS.reduct.computation The reduct computation methods based on RST and FRST
FuzzyRoughSets-intro Introduction to Fuzzy Rough Set Theory
IS.FRIS.FRST The fuzzy rough instance selection algorithm
IS.FRPS.FRST The fuzzy rough prototype selection method
MV.conceptClosestFit Concept Closest Fit
MV.deletionCases Missing value completion by deleting instances
MV.globalClosestFit Global Closest Fit
MV.missingValueCompletion Wrapper function of missing value completion
MV.mostCommonVal Replacing missing attribute values by the attribute mean or common values
MV.mostCommonValResConcept The most common value or mean of an attribute restricted to a concept
predict.FRST The predicting function for rule induction methods based on FRST
predict.RST The predicting function for rule induction methods based on RST
predict.RuleSetFRST The predicting function for rule induction methods based on FRST
predict.RuleSetRST The predicting function for rule induction methods based on RST
RI.GFRS.FRST Generalized fuzzy rough set rule induction based on FRST
RI.hybridFS.FRST Hybrid fuzzy-rough rule and induction and feature selection
RI.indiscernibilityBasedRules.RST Rule induction based on RST
RoughSetData Data set of the package
RoughSets Getting started with the RoughSets package
RoughSets-intro Introduction to Rough Set Theory
SF.applyDecTable Apply for obtaining a new decision table
SF.asDecisionTable The construction function
SF.read.DecisionTable The importing function
summary.IndiscernibilityRelation The summary function of indiscernibility relation based on RST and FRST
summary.LowerUpperApproximation The summary function of lower and upper approximations based on RST and FRST
summary.PositiveRegion The summary function of positive region based on RST and FRST
summary.RuleSetFRST The summary function of rules based on FRST
summary.RuleSetRST The summary function of rules based on RST
X.bestFirst the best-first voting strategy function
X.entropy The information gain measure function
X.gini The gini-index gain measure function
X.nOfConflicts The discernibility measure function
X.nOfConflictsLog The discernibility measure function based on 'log2'
X.nOfConflictsSqrt The discernibility measure function based on 'sqrt'