This method is especially useful if you would like to generate LaTeX equations defining a fuzzy numbers.
# S4 method for FuzzyNumber
as.character(x, toLaTeX=FALSE, varnameLaTeX="A")# S4 method for TrapezoidalFuzzyNumber
as.character(x, toLaTeX=FALSE, varnameLaTeX="A")
# S4 method for PiecewiseLinearFuzzyNumber
as.character(x, toLaTeX=FALSE, varnameLaTeX="A")
# S4 method for PowerFuzzyNumber
as.character(x, toLaTeX=FALSE, varnameLaTeX="A")
a fuzzy number
logical; should LaTeX code be output?
character; variable name to be included in equations
Returns a character vector.
Consider calling the cat
function on the resulting
string.
Thanks to Jan Caha for suggesting the toLaTeX
arg.
Other FuzzyNumber-method: Arithmetic
,
FuzzyNumber-class
,
FuzzyNumber
, alphaInterval
,
alphacut
, ambiguity
,
as.FuzzyNumber
,
as.PiecewiseLinearFuzzyNumber
,
as.PowerFuzzyNumber
,
as.TrapezoidalFuzzyNumber
,
core
, distance
,
evaluate
, expectedInterval
,
expectedValue
,
integrateAlpha
,
piecewiseLinearApproximation
,
plot
, show
,
supp
,
trapezoidalApproximation
,
value
, weightedExpectedValue
,
width
Other PiecewiseLinearFuzzyNumber-method: Arithmetic
,
PiecewiseLinearFuzzyNumber-class
,
PiecewiseLinearFuzzyNumber
,
^,PiecewiseLinearFuzzyNumber,numeric-method
,
alphaInterval
, arctan2
,
as.PiecewiseLinearFuzzyNumber
,
as.PowerFuzzyNumber
,
as.TrapezoidalFuzzyNumber
,
expectedInterval
, fapply
,
maximum
, minimum
,
necessityExceedance
,
necessityStrictExceedance
,
necessityStrictUndervaluation
,
necessityUndervaluation
,
plot
, possibilityExceedance
,
possibilityStrictExceedance
,
possibilityStrictUndervaluation
,
possibilityUndervaluation
Other PowerFuzzyNumber-method: PowerFuzzyNumber-class
,
PowerFuzzyNumber
,
alphaInterval
,
as.PowerFuzzyNumber
,
as.TrapezoidalFuzzyNumber
,
expectedInterval
Other conversion: as.FuzzyNumber
,
as.PiecewiseLinearFuzzyNumber
,
as.PowerFuzzyNumber
,
as.TrapezoidalFuzzyNumber