| ambiguity {FuzzyNumbers} | R Documentation |
Calculate the Ambiguity of a Fuzzy Number
Description
The ambiguity (Delgado et al, 1998) is a measure of nonspecificity of a fuzzy number.
Usage
## S4 method for signature 'FuzzyNumber'
ambiguity(object, ...)
Arguments
object |
a fuzzy number |
... |
additional arguments passed to |
Details
The ambiguity is defined as
amb(A) := \int_0^1 \alpha\left(A_U(\alpha)-A_L(\alpha)\right)\,d\alpha.
Value
Returns a single numeric value.
References
Delgado M., Vila M.A., Voxman W. (1998), On a canonical representation of a fuzzy number, Fuzzy Sets and Systems 93, pp. 125-135.
See Also
Other FuzzyNumber-method:
Arithmetic,
Extract,
FuzzyNumber-class,
FuzzyNumber,
alphaInterval(),
alphacut(),
as.FuzzyNumber(),
as.PiecewiseLinearFuzzyNumber(),
as.PowerFuzzyNumber(),
as.TrapezoidalFuzzyNumber(),
as.character(),
core(),
distance(),
evaluate(),
expectedInterval(),
expectedValue(),
integrateAlpha(),
piecewiseLinearApproximation(),
plot(),
show(),
supp(),
trapezoidalApproximation(),
value(),
weightedExpectedValue(),
width()
Other characteristics:
expectedValue(),
value(),
weightedExpectedValue(),
width()