A. Parchami - Department of Statistics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran
R. Ivani - Water Engineering Department, Faculty of Agriculture, Ferdowsi University of Mashhad, International Branch, Mashhad, Iran
M. Mashinchi - Department of Statistics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Iran

An agricultural application for a new version of the fuzzy analysis of variance has been used in this paper where the collected data are considered fuzzy rather than crisp numbers. Although, ANOVA based on vague data can causes to a fuzzy decision, but in this paper the vagueness of this fuzzy decision is measured which is an important issue for the application point of view

Fuzzy statistics, fuzzy numbers, analysis of variance