aggregateConsequents    Aggregation of fired consequents into a
                        resulting fuzzy set
algebra                 Algebra for Fuzzy Sets
antecedents             Extract antecedent-part (left-hand side) of
                        rules in a list
as.data.frame.farules   Convert the instance of the 'farules()' S3
                        class into a data frame. Empty 'farules()'
                        object is converted into an empty
                        'data.frame()'.
as.data.frame.fsets     Convert an object of 'fsets' class into a
                        matrix or data frame This function converts an
                        instance of S3 class fsets into a matrix or a
                        data frame. The 'vars()' and 'specs()'
                        attributes of the original object are deleted.
c.farules               Take a sequence of instances of S3 class
                        'farules()' and combine them into a single
                        object. An error is thrown if some argument
                        does not inherit from the 'farules()' class.
cbind.fsets             Combine several 'fsets' objects into a single
                        one
compose                 Composition of Fuzzy Relations
consequents             Extract consequent-part (right-hand side) of
                        rules in a list
ctx                     Context for linguistic expressions
defaultHedgeParams      A list of the parameters that define the shape
                        of the hedges.
defuzz                  Convert fuzzy set into a crisp numeric value
equidist                Return equidistant breaks
equifreq                Return equifrequent breaks
evalfrbe                Evaluate the performance of the FRBE forecast
farules                 Create an instance of S3 class 'farules' which
                        represents a set of fuzzy association rules and
                        their statistical characteristics.
fcut                    Transform data into a 'fsets' S3 class using
                        shapes derived from triangles or raised cosines
fire                    Evaluate rules and obtain truth-degrees
frbe                    Fuzzy Rule-Based Ensemble (FRBE) of time-series
                        forecasts
fsets                   S3 class representing a set of fuzzy sets on
                        the fixed universe
ft                      Fuzzy transform
ftinv                   Inverse of the fuzzy transform
hedge                   Linguistic hedges
horizon                 Create a function that computes linguistic
                        horizons
infer                   Perform Mamdani or implicative fuzzy inference
                        with given rule-base on given dataset
is.farules              Test whether 'x' inherits from the S3 'farules'
                        class.
is.frbe                 Test whether 'x' is a valid object of the S3
                        'frbe' class
is.fsets                Test whether 'x' is a valid object of the S3
                        'fsets' class
is.ft                   Test whether 'x' is a valid object of the S3
                        'ft' class
is.specific             Determine whether the first set 'x' of
                        predicates is more specific (or equal) than 'y'
                        with respect to 'vars' and 'specs'.
lcut                    Transform data into a 'fsets' S3 class of
                        linguistic fuzzy attributes
lingexpr                Creator of functions representing linguistic
                        expressions
mase                    Compute Mean Absolute Scaled Error (MASE)
minmax                  Creating linguistic context directly from
                        values
mult                    Callback-based Multiplication of Matrices
pbld                    Perform a Perception-based Logical Deduction
                        (PbLD) with given rule-base on given dataset
perceive                From a set of rules, remove each rule for which
                        another rule exists that is more specific.
plot.fsets              Plot membership degrees stored in the instance
                        of the S3 class 'fsets()' as a line diagram.
print.algebra           Print an instance of the 'algebra()' S3 class
                        in a human readable form.
print.ctx3              Print the linguistic context
print.farules           Print an instance of the 'farules()' S3 class
                        in a human readable form.
print.frbe              Print an instance of the 'frbe()' class
print.fsets             Print an instance of the 'fsets()' class
quantifier              A quantifier is a function that computes a
                        fuzzy truth value of a claim about the
                        quantity. This function creates the <1>-type
                        quantifier. (See the examples below on how to
                        use it as a quantifier of the <1,1> type.)
rbcoverage              Compute rule base coverage of data
reduce                  Reduce the size of rule base
rmse                    Compute Root Mean Squared Error (RMSE)
searchrules             Searching for fuzzy association rules
slices                  Return vector of values from given interval
smape                   Compute Symmetric Mean Absolute Percentage
                        Error (SMAPE)
sobocinski              Modify algebra's way of computing with 'NA'
                        values.
str.fsets               Compactly display the internal structure of an
                        instance of the 'fsets()' class
sugeno                  A factory function for creation of
                        sugeno-integrals.
triangle                Deprecated functions to compute membership
                        degrees of numeric fuzzy sets
triangular              Factories for functions that convert numeric
                        data into membership degrees of fuzzy sets
