expectedValue-methods: Calculate the Expected Value of a Fuzzy Number

In FuzzyNumbers: Tools to Deal with Fuzzy Numbers

Description

The calculation of the so-called expected value is one of possible methods to deffuzify a fuzzy number.

Usage

## S4 method for signature 'FuzzyNumber'
expectedValue(object, ...)

Arguments

object	a fuzzy number
...	additional arguments passed to expectedInterval

Details

The expected value of A is defined as EV(A) := (EI_U(A) + EI_L(A))/2, where EI is the expectedInterval.

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(), integrateAlpha(), piecewiseLinearApproximation(), plot(), show(), supp(), trapezoidalApproximation(), value(), weightedExpectedValue(), width()

Other deffuzification: value(), weightedExpectedValue()

Other characteristics: ambiguity(), value(), weightedExpectedValue(), width()

FuzzyNumbers documentation built on Nov. 15, 2021, 5:09 p.m.