| expectedInterval {FuzzyNumbers} | R Documentation |
Calculate the Expected Interval of a Fuzzy Number
Description
We have EI(A) := [\int_0^1 A_L(\alpha)\,d\alpha,\int_0^1 A_U(\alpha)\,d\alpha]
,
see (Duboid, Prade, 1987).
Usage
## S4 method for signature 'FuzzyNumber'
expectedInterval(object, ...)
## S4 method for signature 'TrapezoidalFuzzyNumber'
expectedInterval(object)
## S4 method for signature 'PiecewiseLinearFuzzyNumber'
expectedInterval(object)
## S4 method for signature 'PowerFuzzyNumber'
expectedInterval(object)
Arguments
object |
a fuzzy number |
... |
for |
Details
Note that if an instance of the FuzzyNumber or DiscontinuousFuzzyNumber class
is given, the calculation is performed via numerical integration.
Otherwise, the computation is exact.
Value
Returns a numeric vector of length 2.
References
Dubois D., Prade H. (1987), The mean value of a fuzzy number, Fuzzy Sets and Systems 24, pp. 279-300.
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(),
expectedValue(),
integrateAlpha(),
piecewiseLinearApproximation(),
plot(),
show(),
supp(),
trapezoidalApproximation(),
value(),
weightedExpectedValue(),
width()
Other TrapezoidalFuzzyNumber-method:
Arithmetic,
TrapezoidalFuzzyNumber-class,
TrapezoidalFuzzyNumber,
TriangularFuzzyNumber(),
alphaInterval(),
as.PiecewiseLinearFuzzyNumber(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber(),
plot()
Other PiecewiseLinearFuzzyNumber-method:
Arithmetic,
Extract,
PiecewiseLinearFuzzyNumber-class,
PiecewiseLinearFuzzyNumber,
^,PiecewiseLinearFuzzyNumber,numeric-method,
alphaInterval(),
arctan2(),
as.PiecewiseLinearFuzzyNumber(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber(),
as.character(),
fapply(),
maximum(),
minimum(),
necessityExceedance(),
necessityStrictExceedance(),
necessityStrictUndervaluation(),
necessityUndervaluation(),
plot(),
possibilityExceedance(),
possibilityStrictExceedance(),
possibilityStrictUndervaluation(),
possibilityUndervaluation()
Other PowerFuzzyNumber-method:
Extract,
PowerFuzzyNumber-class,
PowerFuzzyNumber,
alphaInterval(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber(),
as.character()