The calculation of the so-called value is one of possible methods to deffuzify a fuzzy number.
# S4 method for FuzzyNumber
value(object, ...)
a fuzzy number
additional arguments passed to alphaInterval
Returns a single numeric value.
The value of \(A\) (Delgrado et al, 1998) is defined as \(val(A) := \int_0^1 \alpha\left(A_L(\alpha)+A_U(\alpha)\right)\,d\alpha\).
Delgado M., Vila M.A., Voxman W. (1998), On a canonical representation of a fuzzy number, Fuzzy Sets and Systems 93, pp. 125-135.
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()
,
plot()
,
show()
,
supp()
,
trapezoidalApproximation()
,
weightedExpectedValue()
,
width()
Other deffuzification:
expectedValue()
,
weightedExpectedValue()
Other characteristics:
ambiguity()
,
expectedValue()
,
weightedExpectedValue()
,
width()