FuzzyStatTra (version 1.0)

Dthetaphi:

Description

This function calculates the mid/spr distance between the fuzzy numbers contained in two arrays, which should be given in the desired format. For this, the function first checks if the input arrays R and S are in the correct form (tested by checking) and if the \(\alpha\)-levels of all fuzzy numbers coincide.

Usage

Dthetaphi(R, S, a = 1, b = 1, theta = 1/3)

Arguments

R

array of dimension nl x 3 x r containing r fuzzy numbers characterized by means of nl \(\alpha\)-levels each. The function first calls checking to check if the array R has the correct format. Moreover, the \(\alpha\)-levels of the array R should coincide with the ones of the array S (the function checks this condition).

S

array of dimension nl x 3 x s containing s fuzzy numbers characterized by means of nl \(\alpha\)-levels each. The function first calls checking to check if the array S has the correct format. Moreover, the \(\alpha\)-levels of the array S should coincide with the ones of the array R (the function checks this condition).

a

number >0, by default a=1. It is the first parameter of a beta distribution which corresponds to a weighting measure on [0,1].

b

number >0, by default b=1. It is the second parameter of a beta distribution which corresponds to a weighting measure on [0,1].

theta

number >0, by default theta=1/3. It is the weight of the spread in the mid/spr distance.

Value

The function returns a matrix of dimension r x s containing the mid/spr distances between the fuzzy numbers of the array R and the fuzzy numbers of the array S .

Details

See examples

References

[1] Blanco-Fernandez, A.; Casals, R.M.; Colubi, A.; Corral, N.; Garcia-Barzana, M.; Gil, M.A.; Gonzalez-Rodriguez, G.; Lopez, M.T.; Lubiano, M.A.; Montenegro, M.; Ramos-Guajardo, A.B.; de la Rosa de Saa, S.; Sinova, B.: Random fuzzy sets: A mathematical tool to develop statistical fuzzy data analysis, Iranian Journal on Fuzzy Systems 10(2), pp. 1-28 (2013)

See Also

checking, DthetaphiTra

Examples

# Example 1:
F=SimulCASE1(10)
S=SimulCASE1(20)
F=TransfTra(F)
S=TransfTra(S)
Dthetaphi(F,S,1,5,1)

# Example 2:
F=SimulCASE1(10)
S=SimulCASE1(10)
Dthetaphi(F,S,2,1,1/3)

# Example 3:
F=SimulCASE1(10)
S=SimulCASE1(10)
F=TransfTra(F)
S=TransfTra(S,50)
Dthetaphi(F,S,2,1,1)