integrateAlpha {FuzzyNumbers} | R Documentation |
Numerically Integrate Alpha-Cut Bounds
Description
Integrates numerically a transformed or weighted lower or upper alpha-cut bound of a fuzzy number.
Usage
## S4 method for signature 'FuzzyNumber,character,numeric,numeric'
integrateAlpha(object, which=c("lower", "upper"),
from=0, to=1, weight=NULL, transform=NULL, ...)
## S4 method for signature 'DiscontinuousFuzzyNumber,character,numeric,numeric'
integrateAlpha(object, which=c("lower", "upper"),
from=0, to=1, weight=NULL, transform=NULL, ...)
Arguments
object |
a fuzzy number |
which |
one of |
from |
numeric |
to |
numeric |
... |
additional arguments passed to |
weight |
a function or NULL |
transform |
a function or NULL |
Value
Returns a single numeric value.
See Also
Other FuzzyNumber-method:
Arithmetic
,
Extract
,
FuzzyNumber-class
,
FuzzyNumber
,
alphaInterval()
,
alphacut()
,
ambiguity()
,
as.FuzzyNumber()
,
as.PiecewiseLinearFuzzyNumber()
,
as.PowerFuzzyNumber()
,
as.TrapezoidalFuzzyNumber()
,
as.character()
,
core()
,
distance()
,
evaluate()
,
expectedInterval()
,
expectedValue()
,
piecewiseLinearApproximation()
,
plot()
,
show()
,
supp()
,
trapezoidalApproximation()
,
value()
,
weightedExpectedValue()
,
width()
Other DiscontinuousFuzzyNumber-method:
DiscontinuousFuzzyNumber-class
,
DiscontinuousFuzzyNumber
,
Extract
,
distance()
,
plot()