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,
Extract,
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,
Extract,
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:
Extract,
PowerFuzzyNumber-class,
PowerFuzzyNumber,
alphaInterval(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber(),
expectedInterval()
Other conversion:
as.FuzzyNumber(),
as.PiecewiseLinearFuzzyNumber(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber()