Analysis of variance based on fuzzy observations

M. Nourbakhsh, M. Mashinchi and A. Parchami

International Journal of Systems Science, 2013, vol. 44, issue 4, 714-726

Abstract: Analysis of variance (ANOVA) is an important method in exploratory and confirmatory data analysis. The simplest type of ANOVA is one-way ANOVA for comparison among means of several populations. In this article, we extend one-way ANOVA to a case where observed data are fuzzy observations rather than real numbers. Two real-data examples are given to show the performance of this method.

Date: 2013
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DOI: 10.1080/00207721.2011.618640

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