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International Journal of Systems Science Volume 44, 2013 - Issue 4
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Original Articles

Analysis of variance based on fuzzy observations

M. Nourbakhsh Department of Statistics, Vali-e-Asr University of Rafsanjan, Iran
,
M. Mashinchi International Center for Science, High Technology and Environmental Sciences, PO Box 763115-117, Kerman, IranCorrespondence[email protected]
&
A. Parchami Department of Statistics, Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, Kerman, Iran
Pages 714-726 | Received 02 Jun 2010, Accepted 11 Aug 2011, Published online: 28 Sep 2011
 
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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.

Acknowledgements

The authors thank the referees for their constructive suggestions and comments, which improved the presentation of this study.

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