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lfl (version 1.4.2)

Linguistic Fuzzy Logic

Description

Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE) - see Burda (2015) .

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Version

Install

install.packages('lfl')

Monthly Downloads

485

Version

1.4.2

License

GPL (>= 3.0)

Maintainer

Michal Burda

Last Published

August 1st, 2018

Functions in lfl (1.4.2)

Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of the fuzzy sets

as.data.frame.farules

Convert the 'farules' object into a data frame

Compute truth-degrees of rules on data

Plot a 'fsets' object

Print an instance of the farules class

Perform a Perception-based Logical Deduction (PbLD) with given rule-base on given dataset

Searching for fuzzy association rules

Convert fuzzy set into a crisp numeric value

Compute forecast errors

A class of rules with statistical characteristics.

Evaluate the performance of the FRBE forecast

aggregateConsequents

Implicational aggregation of rules' consequents into a fuzzy set

From a set of rules, remove each rule for which another rule exists that is more specific.

Transform data into a set of linguistic fuzzy attributes

Callback-based Multiplication of Matrices

Algebra for Fuzzy Sets

Fuzzy Rule-Based Ensemble (FRBE) of time-series forecasts

Return vector of values from given interval

Return the last part of an instance of the farules class

Return the last part of an instance of the fsets class

Compute membership degrees of values to the fuzzy set

A class of a table with several fuzzy sets.

Print an instance of the frbe class

Print an instance of the fsets class

Compute rule base coverage of data

Composition of Fuzzy Relations

Select several rows and columns from a data object

as.matrix.fsets

Convert a 'fsets' object into matrix

Extract consequent-part (RHS) of the rules in a list

Return the first part of an instance of the farules class

Return the first part of an instance of the fsets class

Combine several 'fsets' objects into a single one

Test whether x is a valid object of the frbe class

Test whether x is a valid object of the farules class

Reduce the size of rule base

Test whether x is a valid object of the fsets class

Determine whether the first set of predicates is more specific (or equal) than the other.

Extract antecedent-part (LHS) of the rules in a list