Mean {FuzzyStatTra} | R Documentation |
Given a sample of trapezoidal fuzzy numbers contained in a matrix F
, the function calculates the Aumann-type mean of these numbers (which is a trapezoidal fuzzy number too). The function first checks if the input matrix F
is given in the correct form (tested by checkingTra
).
Mean(F)
F |
matrix of dimension |
See examples
The function returns the Aumann-type mean, given as a matrix of dimension 1 x 4
.
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.; De la Rosa de Saa, S.; Lubiano, M.A.; Gil, M.A.: An overview on the statistical central tendency for fuzzy datasets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23 (Suppl. 1), pp. 105-132 (2015)
# Example 1:
F=SimulCASE1(100)
Mean(F)
# Example 2:
F=matrix(c(1,0,2,3),nrow=1)
Mean(F)
# Example 3:
F=matrix(c(1,0,2,3),nrow=2)
Mean(F)