plot {FuzzyNumbers} | R Documentation |
Plot a Fuzzy Number
Description
The function aims to provide a similar look-and-feel to the
built-in plot.default
and curve
function.
Usage
## S4 method for signature 'FuzzyNumber,missing'
plot(x, y, from=NULL, to=NULL, n=101, at.alpha=NULL,
draw.membership.function=TRUE, draw.alphacuts=!draw.membership.function,
xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
type="l", col=1, lty=1, pch=1, lwd=1,
shadowdensity=15, shadowangle=45, shadowcol=col, shadowborder=NULL,
add=FALSE, ...)
## S4 method for signature 'TrapezoidalFuzzyNumber,missing'
plot(x, y, from=NULL, to=NULL,
draw.membership.function=TRUE, draw.alphacuts=!draw.membership.function,
xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
type="l", col=1, lty=1, pch=1, lwd=1, add=FALSE, ...)
## S4 method for signature 'PiecewiseLinearFuzzyNumber,missing'
plot(x, y, from=NULL, to=NULL,
draw.membership.function=TRUE, draw.alphacuts=!draw.membership.function,
xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
type="l", col=1, lty=1, pch=1, lwd=1, add=FALSE, ...)
## S4 method for signature 'DiscontinuousFuzzyNumber,missing'
plot(x, y, from=NULL, to=NULL,
n=101, draw.membership.function=TRUE, draw.alphacuts=!draw.membership.function,
xlab=NULL, ylab=NULL, xlim=NULL, ylim=NULL,
type="l", col=1, lty=1, pch=1, lwd=1,
add=FALSE, ...)
Arguments
x |
a fuzzy number |
y |
not used |
from |
numeric; |
to |
numeric; |
n |
numeric; number of points to probe |
at.alpha |
numeric vector; give exact alpha-cuts at which linear interpolation should be done |
draw.membership.function |
logical; you want membership function ( |
draw.alphacuts |
logical; defaults |
xlab |
character; x-axis label |
ylab |
character; y-axis label |
xlim |
numeric; |
ylim |
numeric; |
type |
character; defaults |
col |
see |
lty |
see |
pch |
see |
lwd |
see |
shadowdensity |
numeric; for shadowed sets; |
shadowangle |
numeric; for shadowed sets; |
shadowcol |
color specification, see |
shadowborder |
numeric; for shadowed sets; |
add |
logical; add another FuzzyNumber to existing plot? |
... |
further arguments passed to |
Details
Note that if from > a1
then it is set to a1
.
Value
Returns nothing really interesting.
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()
,
integrateAlpha()
,
piecewiseLinearApproximation()
,
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()
,
as.character()
,
expectedInterval()
,
fapply()
,
maximum()
,
minimum()
,
necessityExceedance()
,
necessityStrictExceedance()
,
necessityStrictUndervaluation()
,
necessityUndervaluation()
,
possibilityExceedance()
,
possibilityStrictExceedance()
,
possibilityStrictUndervaluation()
,
possibilityUndervaluation()
Other TrapezoidalFuzzyNumber-method:
Arithmetic
,
TrapezoidalFuzzyNumber-class
,
TrapezoidalFuzzyNumber
,
TriangularFuzzyNumber()
,
alphaInterval()
,
as.PiecewiseLinearFuzzyNumber()
,
as.PowerFuzzyNumber()
,
as.TrapezoidalFuzzyNumber()
,
expectedInterval()
Other DiscontinuousFuzzyNumber-method:
DiscontinuousFuzzyNumber-class
,
DiscontinuousFuzzyNumber
,
Extract
,
distance()
,
integrateAlpha()
Examples
plot(FuzzyNumber(0,1,2,3), col="gray")
plot(FuzzyNumber(0,1,2,3, left=function(x) x^2, right=function(x) 1-x^3), add=TRUE)
plot(FuzzyNumber(0,1,2,3, lower=function(x) x, upper=function(x) 1-x), add=TRUE, col=2)