SimulCASE3: Simulation of trapezoidal fuzzy numbers CASE 3
In FuzzyStatTra: Statistical Methods for Trapezoidal Fuzzy Numbers

Description Usage Arguments Details Value Note Author(s) References See Also Examples

This function generates n trapezoidal fuzzy numbers from an asymmetric distribution and with independent components (for a detailed explanation of the simulation see the paper [1] below, namely, the Case 3 for noncontaminated samples).

1	SimulCASE3(n)

`n`	positive integer. It is the number of trapezoidal fuzzy numbers to be generated.

See examples

This function returns n trapezoidal fuzzy numbers contained in a matrix of dimension n x 4. Each trapezoidal fuzzy number is characterized by its four values inf0,inf1,sup1,sup0.

In case you find (almost surely existing) bugs or have recommendations for improving the functions comments are welcome to the above mentioned mail addresses.

Asun Lubiano <lubiano@uniovi.es>, Sara de la Rosa de Saa <rosasara@uniovi.es>

[1] Sinova, B.; Gil, M.A.; Van Aelst, S.: M-estimates of location for the robust central tendency of fuzzy data, IEEE Transactions on Fuzzy Systems 24(4), pp. 945-956 (2016)

SimulCASE1, SimulCASE2, SimulCASE4, SimulFRSTra

1 2	# Example 1: SimulCASE3(10)

           [,1]      [,2]      [,3]      [,4]
 [1,] 0.6598743 0.8100530 0.9688191 0.9705352
 [2,] 0.6435744 0.7435149 0.7674654 0.9857679
 [3,] 0.5147990 0.7847772 0.8000373 0.9073379
 [4,] 0.7846634 0.8394998 0.8509577 0.9521013
 [5,] 0.6597797 0.7396991 0.7651766 0.8233143
 [6,] 0.7618405 0.8262728 0.9891296 0.9937523
 [7,] 0.7036337 0.7757323 0.9579194 0.9753629
 [8,] 0.6761670 0.7888775 0.8394605 0.9880019
 [9,] 0.3966466 0.7124933 0.7922311 0.9605450
[10,] 0.7310459 0.7340542 0.8106611 0.8745793