ANOVA.TFNs (version 1.0)

mse.fuzzy: Mean of Squares within treatments (Errors) for Triangular Fuzzy observation

Description

This function calculate the Mean of Squares Errors (SSE) for Triangular Fuzzy observation on the basis of m=1,2,3,... (Parchami et al., 2017, 2018).

Usage

mse.fuzzy(Data, m = 1)

Arguments

Data

a matrix with \(dim=c(n, 4)\) and FANOVA.Data format.

m

a positive integer number which related to the weight of distance between two cuts of fuzzy numbers, and its default is m=1. For more details see (Parchami et al., 2017, 2018).

See Also

FuzzyNumbers

Examples

# NOT RUN {
data(Data)

mse.fuzzy( Data )  
# }
# NOT RUN {
# For m=1
# }
# NOT RUN {
mse.fuzzy( Data, m=2)
# }