A.Introduction-RoughSets
                        Introduction to Rough Set Theory
B.Introduction-FuzzyRoughSets
                        Introduction to Fuzzy 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.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.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
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
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-package       Getting started with the RoughSets package
SF.applyDecTable        Apply for obtaining a new decision table
SF.asDecisionTable      The construction function
SF.read.DecisionTable   The importing function
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'
predict.RuleSetFRST     The predicting function for rule induction
                        methods based on FRST
predict.RuleSetRST      The predicting function for rule induction
                        methods based on RST
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
