FuzzyStatTra (version 1.0)

checking:

Description

The function checks if the input data are given in the correct form of an array of dimension nl x 3 x n containing n fuzzy numbers characterized by means of nl \(\alpha\)-levels each. The following conditions have to be fulfilled: (1) the number of columns of the array must be 3 (the first column will be the \(\alpha\)-levels, the second one their infimum values and the third one their supremum values), (2) all the fuzzy numbers must have the same column of \(\alpha\)-levels, (3) the minimum \(\alpha\)-level should be 0 y the maximum 1, (4) the \(\alpha\)-levels have to increase from 0 to 1, (5) the infimum values have to be non-decreasing, (6) the supremum values have to be non-creasing, (7) the infimum value has to be smaller or equal than the supremum value for each \(\alpha\)-level. This function is used internally in some of the other functions to do a preliminary checking if the input data are in the correct form.

Usage

checking(R)

Arguments

R

can be any array.

Value

The function returns the value 1 if the input fulfills all conditions, if not, the value 0 is returned.

Details

See examples

See Also

checkingTra, filterNA

Examples

# Example 1:
F=SimulCASE1(10)
R=TransfTra(F)
c=checking(R)
c

# Example 2:
R=array(c(1:10),dim=c(2,1,2))
c=checking(R)
c

# Example 3:
R=array(c(1:10),dim=c(2,3,2))
c=checking(R)
c

# Example 4:
R=array(c(1,2,3,4,5,6,1,2,4,5,6,7),dim=c(2,3,2))
c=checking(R)
c

# Example 5:
R=array(c(0,0,1,2,3,4,5,0,1,0,0,1,7,8,9,19,30,3),dim=c(3,3,2))
c=checking(R)
c

# Example 6:
R=array(c(0,0.5,1,2,3,4,5,0,1,0,0.5,1,7,8,7,19,30,3),dim=c(3,3,2))
c=checking(R)
c

# Example 7:
R=array(c(0,0.5,1,2,3,4,5,0,1,0,0.5,1,7,8,9,19,30,3),dim=c(3,3,2))
c=checking(R)
c

# Example 8:
R=array(c(0,0.5,1,2,3,4,6,5,4,0,0.5,1,7,8,9,19,10,2),dim=c(3,3,2))
c=checking(R)
c