Return equidistant breaks
Evaluate the performance of the FRBE forecast
Fuzzy Rule-Based Ensemble (FRBE) of time-series forecasts
Return equifrequent breaks
Convert fuzzy set into a crisp numeric value
Transform data into a fsets S3 class using shapes derived from
triangles or raised cosines
A list of the parameters that define the shape of the hedges.
Context for linguistic expressions
Create an instance of S3 class farules which represents a set of fuzzy
association rules and their statistical characteristics.
Evaluate rules and obtain truth-degrees
Test whether x inherits from the S3 farules class.
Determine whether the first set x of predicates is more specific (or equal)
than y with respect to vars and specs.
Linguistic hedges
S3 class representing a set of fuzzy sets on the fixed universe
Test whether x is a valid object of the S3 ft class
Test whether x is a valid object of the S3 fsets class
Inverse of the fuzzy transform
Test whether x is a valid object of the S3 frbe class
Create a function that computes linguistic horizons
Fuzzy transform
Creator of functions representing linguistic expressions
Creating linguistic context directly from values
Compute Mean Absolute Scaled Error (MASE)
Perform a Perception-based Logical Deduction (PbLD) with given rule-base on
given dataset
Print an instance of the algebra() S3 class in a human readable form.
Plot membership degrees stored in the instance of the S3 class
fsets() as a line diagram.
lfl - Linguistic Fuzzy Logic
Callback-based Multiplication of Matrices
Compute rule base coverage of data
Reduce the size of rule base
Print an instance of the frbe() class
Return vector of values from given interval
From a set of rules, remove each rule for which another rule exists that is
more specific.
Print an instance of the farules() S3 class in a human readable form.
Compute Root Mean Squared Error (RMSE)
Searching for fuzzy association rules
Compute Symmetric Mean Absolute Percentage Error (SMAPE)
Deprecated functions to compute membership degrees of numeric fuzzy sets
Print an instance of the fsets() class
Print the linguistic context
Transform data into a fsets S3 class of linguistic fuzzy attributes
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.)
A factory function for creation of sugeno-integrals.
Factories for functions that convert numeric data into membership degrees of fuzzy sets
Modify algebra's way of computing with NA values.
Aggregation of fired consequents into a resulting fuzzy set
Extract antecedent-part (left-hand side) of rules in a list
Composition of Fuzzy Relations
Extract consequent-part (right-hand side) of rules in a list
Algebra for Fuzzy Sets
Convert the instance of the farules() S3 class into a data frame.
Empty farules() object is converted into an empty data.frame() 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.
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.
Combine several 'fsets' objects into a single one