Apply a Function on a Fuzzy Number
Applies a given monotonic function using the extension principle (i.e. the function is applied on alpha-cuts).
## S4 method for signature 'PiecewiseLinearFuzzyNumber,function' fapply(object, fun, ...)
object |
a fuzzy number |
fun |
a monotonic, vectorized R function |
... |
additional arguments passed to |
Currently only a method for the PiecewiseLinearFuzzyNumber class has been defined. The computations are exact (up to a numeric error) at knots. So, make sure you have a sufficient number of knots if you want good approximation.
For other types of fuzzy numbers, consider using
piecewiseLinearApproximation.
Returns a PiecewiseLinearFuzzyNumber.
Other PiecewiseLinearFuzzyNumber-method: Arithmetic,
PiecewiseLinearFuzzyNumber-class,
PiecewiseLinearFuzzyNumber,
^,PiecewiseLinearFuzzyNumber,numeric-method,
alphaInterval, arctan2,
as.PiecewiseLinearFuzzyNumber,
as.PowerFuzzyNumber,
as.TrapezoidalFuzzyNumber,
as.character,
expectedInterval, maximum,
minimum, necessityExceedance,
necessityStrictExceedance,
necessityStrictUndervaluation,
necessityUndervaluation,
plot, possibilityExceedance,
possibilityStrictExceedance,
possibilityStrictUndervaluation,
possibilityUndervaluation
Other extension_principle: Arithmetic,
^,PiecewiseLinearFuzzyNumber,numeric-method
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