ANOVA.TFNs (version 1.0)

sst.fuzzy: Sum of Squares Total for Triangular Fuzzy observation

Description

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

Usage

sst.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).

References

A. Parchami, M.R. Nourbakhsh, M. Mashinchi (2017) Analysis of Variance in Uncertain Environments, Complex & Intelligent Systems, Volume 3, Number 3, 189-196, DOI: 10.1007/s40747-017-0046-8

A. Parchami, M. Mashinchi, C. Kahraman (2018) An Implication of Fuzzy ANOVA in Vehicle Battery Manufacturing, Journal of Enterprise Information Management, Preprint.

See Also

FuzzyNumbers

Examples

# NOT RUN {
data(Data)

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