MeasureEuclidean: Function to calculate the Euclidean distance between two...

In FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data

Function to calculate the Euclidean distance between two fuzzy numbers.

Description

'MeasureEuclidean' calculates the Euclidean measure between two trapezoidal or triangular fuzzy numbers.

Usage

MeasureEuclidean(value1, value2, trapezoidal = TRUE, ...)

Arguments

value1	The first input triangular or trapezoidal fuzzy number.
value2	The second input triangular or trapezoidal fuzzy number.
trapezoidal	Logical value depending on the type of input fuzzy values (triangular or trapezoidal ones)
...	Additional parameters passed to other functions.

Details

The procedure calculates the Euclidean measure of the distance between two trapezoidal or triangular fuzzy numbers. The input values can be given as triangular/trapezoidal fuzzy numbers using the objects defined in FuzzyNumbers package or vectors with three (in the case of triangular fuzzy numbers) or four (for trapezoidal fuzzy numbers) values related to left end of the support, the core (or its interval, respectively), and the right end of the support. The parameter trapezoidal is used to indicate if the input values are trapezoidal fuzzy numbers or triangular ones.

Value

The output is given as a numerical value.

See Also

MeasureAHD, MeasureHSD for other procedures to calculate distance measures.

Examples

# let's define two trapezoidal fuzzy numbers

tpfn1 <- c(1,2,3,4)

tpfn2 <- c(2,6,8,10)

# calculate the distance

MeasureEuclidean(tpfn1,tpfn2)

# now we use objects from the FuzzyNumbers package

# load the necessary library

library(FuzzyNumbers)

tpfn1 <- TrapezoidalFuzzyNumber(1,2,3,4)

tpfn2 <- TrapezoidalFuzzyNumber(2,6,8,10)

MeasureEuclidean(tpfn1,tpfn2)

FuzzyImputationTest documentation built on April 3, 2025, 9:23 p.m.