MeasureHSD: Function to calculate the HSD distance between two fuzzy...

In FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data

Function to calculate the HSD distance between two fuzzy numbers.

Description

'MeasureHSD' calculates the HSD (Area Hight Distance) measure between two trapezoidal or triangular fuzzy numbers.

Usage

MeasureHSD(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).

Details

The procedure calculates the HSD (Hight Source Distance) 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.

References

S. Yeganehmanesh, M. Amirfakhrian, and P. Grzegorzewski, “Fuzzy semi-numbers and a distance on them with a case study in medicine,” Mathematical Sciences, vol. 12, no. 1, pp. 41–52, 2018

See Also

MeasureAHD, MeasureEuclidean 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

MeasureHSD(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)

MeasureHSD(tpfn1,tpfn2)

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