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Vol 8, No 1:

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A Statistical Analysis of Variance for One Way Classification with Addition Operations using Triangular Fuzzy Numbers
A. Mariappan , M. Pachamuthu
Abstract
The Analysis of Variance (ANOVA) is a statistical technique commonly used to compare several population means which exist simultaneously. The classical ANOVA model's statistical analysis infers about the rejection or acceptance of the null hypothesis at a certain level of significance. This paper proposes a novel computational method for implementing ANOVA for one way classification of fuzzy addition operations. Further, the extension principle is used with two Triangular Fuzzy Numbers (TFNs) with the -cut method based on decision rules to accept null hypothesis levels and illustrated with numerical examples.
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ISSN(P) 2350-0174

ISSN(O) 2456-2378

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