Learn R Programming

FuzzyNumbers (version 0.4-7)

evaluate: Evaluate the Membership Function

Description

This function returns the value(s) of the membership function of a fuzzy number at given point(s).

Usage

# S4 method for FuzzyNumber,numeric
evaluate(object, x)

Arguments

object

a fuzzy numbers

x

numeric vector

Value

Returns a numeric vector.

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

Examples

Run this code
# NOT RUN {
T <- TrapezoidalFuzzyNumber(1,2,3,4)
evaluate(T, seq(0, 5, by=0.5))
# }

Run the code above in your browser using DataLab