Convert a 'fsets' object into matrix
Implicational aggregation of rules' consequents into a fuzzy set
Transform data into a set of linguistic fuzzy attributes
Test whether x
is a valid object of the frbe
class
Return vector of values from given interval
Select several rows and columns from a data object
Compute membership degrees of values to the fuzzy set
Convert fuzzy set into a crisp numeric value
Print an instance of the fsets
class Test whether x
is a valid object of the fsets
class
Print an instance of the farules
class Perform a Perception-based Logical Deduction (PbLD) with given rule-base on given dataset
Print an instance of the frbe
class Return the last part of an instance of the farules
class Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of
the fuzzy sets
Determine whether the first set of predicates is more specific (or equal) than the other.
From a set of rules, remove each rule for which another rule exists that is more specific.
Extract consequent-part (RHS) of the rules in a list
Linguistic Fuzzy Logic
Return the first part of an instance of the fsets
class Fuzzy Rule-Based Ensemble (FRBE) of time-series forecasts
Compute truth-degrees of rules on data
Return the last part of an instance of the fsets
class Extract antecedent-part (LHS) of the rules in a list
A class of rules with statistical characteristics.
Compute rule base coverage of data
Return the first part of an instance of the farules
class Combine several 'fsets' objects into a single one
Evaluate the performance of the FRBE forecast
Test whether x
is a valid object of the farules
class
A class of a table with several fuzzy sets.
Triangular norm
Searching for fuzzy association rules
Reduce the size of rule base
Compute forecast errors