weightedExpectedValue-methods: Calculate the Weighted Expected Value of a Fuzzy Number In FuzzyNumbers: Tools to Deal with Fuzzy Numbers

Description

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

For w=0.5 we get the ordinary `expectedValue`.

Usage

 ```1 2``` ```## S4 method for signature 'FuzzyNumber' weightedExpectedValue(object, w=0.5, ...) ```

Arguments

 `object` a fuzzy number `...` additional arguments passed to `expectedInterval` `w` a single numeric value in [0,1]

Details

The weighted expected value of A is defined as EV_w(A) := (1-w) EI_L(A) + w EI_U(A), where EI is the `expectedInterval.`

Value

Returns a single numeric value.

Other FuzzyNumber-method: `Arithmetic`, `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`, `value`, `width`
Other characteristics: `ambiguity`, `expectedValue`, `value`, `width`
Other deffuzification: `expectedValue`, `value`