One-Way Analysis of Variance Based on Triangular Fuzzy Numbers

Long formulas and complex computations are two disadvantage of the extended ANOVA approach where the observed data are fuzzy rather that crisp; for more details see Parchami et al. (2017) . Package 'ANOVA.TFNs' can help to the applied users to overcome these two challenges. The most important functions in package 'ANOVA.TFNs' is FANOVA() which easily draw all membership functions of fuzzy numbers, report observed statistics in fuzzy ANOVA table, calculate the p-value and final result for Fuzzy ANOVA test at the certain significance level.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0 by Abbas Parchami, a year ago

Browse source code at

Authors: Abbas Parchami (Department of Statistics , Faculty of Mathematics and Computer , Shahid Bahonar University of Kerman , Kerman , Iran)

Documentation:   PDF Manual  

LGPL (>= 3) license

Imports FuzzyNumbers

See at CRAN