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lfl

The lfl package provides 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). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.

Installation

To install the stable version from CRAN, simply issue the following command within your R session:

install.packages("lfl")

If you want to install the development version instead, type:

install.packages("devtools")
devtools::install_github("beerda/lfl")

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Version

Install

install.packages('lfl')

Monthly Downloads

562

Version

2.2.0

License

GPL-3

Maintainer

Last Published

September 8th, 2022

Functions in lfl (2.2.0)

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

defaultHedgeParams

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.

aggregateConsequents

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

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.

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