# Linguistic Fuzzy Logic

## Documentation for package ‘lfl’ version 2.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A C D E F G H I K L M N P Q R S T V

## -- A --

aggregateConsequents | Aggregation of fired consequents into a resulting fuzzy set
algebra | Algebra for Fuzzy Sets
algebraNA | Modify algebra's way of computing with 'NA' values.
allowed.lingexpr | Creator of functions representing linguistic expressions
antecedents | Extract antecedent-part (left-hand side) of rules in a list
as.ctx3 | Context for linguistic expressions
as.ctx3.ctx3 | Context for linguistic expressions
as.ctx3.ctx3bilat | Context for linguistic expressions
as.ctx3.ctx5 | Context for linguistic expressions
as.ctx3.ctx5bilat | Context for linguistic expressions
as.ctx3.default | Context for linguistic expressions
as.ctx3bilat | Context for linguistic expressions
as.ctx3bilat.ctx3 | Context for linguistic expressions
as.ctx3bilat.ctx3bilat | Context for linguistic expressions
as.ctx3bilat.ctx5 | Context for linguistic expressions
as.ctx3bilat.ctx5bilat | Context for linguistic expressions
as.ctx3bilat.default | Context for linguistic expressions
as.ctx5 | Context for linguistic expressions
as.ctx5.ctx3 | Context for linguistic expressions
as.ctx5.ctx3bilat | Context for linguistic expressions
as.ctx5.ctx5 | Context for linguistic expressions
as.ctx5.ctx5bilat | Context for linguistic expressions
as.ctx5.default | Context for linguistic expressions
as.ctx5bilat | Context for linguistic expressions
as.ctx5bilat.ctx3 | Context for linguistic expressions
as.ctx5bilat.ctx3bilat | Context for linguistic expressions
as.ctx5bilat.ctx5 | Context for linguistic expressions
as.ctx5bilat.ctx5bilat | Context for linguistic expressions
as.ctx5bilat.default | Context for linguistic expressions
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.
as.matrix.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 --

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
ctx3 | Context for linguistic expressions
ctx3bilat | Context for linguistic expressions
ctx5 | Context for linguistic expressions
ctx5bilat | Context for linguistic expressions

## -- D --

defaultHedgeParams | A list of the parameters that define the shape of the hedges.
defuzz | Convert fuzzy set into a crisp numeric value
dragonfly | Modify algebra's way of computing with 'NA' values.

## -- E --

evalfrbe | Evaluate the performance of the FRBE forecast

## -- F --

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
fcut.data.frame | Transform data into a 'fsets' S3 class using shapes derived from triangles or raised cosines
fcut.default | Transform data into a 'fsets' S3 class using shapes derived from triangles or raised cosines
fcut.factor | Transform data into a 'fsets' S3 class using shapes derived from triangles or raised cosines
fcut.logical | Transform data into a 'fsets' S3 class using shapes derived from triangles or raised cosines
fcut.matrix | Transform data into a 'fsets' S3 class using shapes derived from triangles or raised cosines
fcut.numeric | 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

## -- G --

goedel.biresiduum | Algebra for Fuzzy Sets
goedel.residuum | Algebra for Fuzzy Sets
goedel.tconorm | Algebra for Fuzzy Sets
goedel.tnorm | Algebra for Fuzzy Sets
goguen.biresiduum | Algebra for Fuzzy Sets
goguen.residuum | Algebra for Fuzzy Sets
goguen.tconorm | Algebra for Fuzzy Sets
goguen.tnorm | Algebra for Fuzzy Sets

## -- H --

hedge | Linguistic hedges
horizon | Create a function that computes linguistic horizons

## -- I --

invol.neg | Algebra for Fuzzy Sets
is.algebra | Algebra for Fuzzy Sets
is.ctx3 | Context for linguistic expressions
is.ctx3bilat | Context for linguistic expressions
is.ctx5 | Context for linguistic expressions
is.ctx5bilat | Context for linguistic expressions
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.specific | Determine whether the first set 'x' of predicates is more specific (or equal) than 'y' with respect to 'vars' and 'specs'.

## -- K --

kleene | Modify algebra's way of computing with 'NA' values.

## -- L --

lcut | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.data.frame | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.default | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.factor | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.logical | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.matrix | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lcut.numeric | Transform data into a 'fsets' S3 class of linguistic fuzzy attributes
lfl | lfl - Linguistic Fuzzy Logic
lingexpr | Creator of functions representing linguistic expressions
lowerEst | Modify algebra's way of computing with 'NA' values.
lukas.biresiduum | Algebra for Fuzzy Sets
lukas.residuum | Algebra for Fuzzy Sets
lukas.tconorm | Algebra for Fuzzy Sets
lukas.tnorm | Algebra for Fuzzy Sets

## -- M --

mase | Compute Mean Absolute Scaled Error (MASE)
minmax | Creating linguistic context directly from values
mult | Callback-based Multiplication of Matrices

## -- N --

nelson | Modify algebra's way of computing with 'NA' values.

## -- P --

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.
pgoedel.tconorm | Algebra for Fuzzy Sets
pgoedel.tnorm | Algebra for Fuzzy Sets
pgoguen.tconorm | Algebra for Fuzzy Sets
pgoguen.tnorm | Algebra for Fuzzy Sets
plot.fsets | Plot membership degrees stored in the instance of the S3 class 'fsets()' as a line diagram.
plukas.tconorm | Algebra for Fuzzy Sets
plukas.tnorm | Algebra for Fuzzy Sets
print.algebra | Print an instance of the 'algebra()' S3 class in a human readable form.
print.ctx3 | Print the linguistic context
print.ctx3bilat | Print the linguistic context
print.ctx5 | Print the linguistic context
print.ctx5bilat | 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

## -- Q --

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.)

## -- R --

raisedcos | Deprecated functions to compute membership degrees of numeric fuzzy sets
raisedcosine | Factories for functions that convert numeric data into membership degrees of fuzzy sets
rbcoverage | Compute rule base coverage of data
reduce | Reduce the size of rule base
rmse | Compute Root Mean Squared Error (RMSE)

## -- S --

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.
specs | S3 class representing a set of fuzzy sets on the fixed universe
specs<- | S3 class representing a set of fuzzy sets on the fixed universe
strict.neg | Algebra for Fuzzy Sets
sugeno | A factory function for creation of sugeno-integrals.

## -- T --

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

## -- V --

vars | S3 class representing a set of fuzzy sets on the fixed universe
vars<- | S3 class representing a set of fuzzy sets on the fixed universe