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

In ANOVA.TFNs: One-Way Analysis of Variance Based on Triangular Fuzzy Numbers

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

data(Data)

sst.fuzzy( Data )   # For m=1 
sst.fuzzy( Data, m=2)

ANOVA.TFNs documentation built on May 1, 2019, 9:14 p.m.