Simulation Modeling and Analysis
Simulation Modeling and Analysis
Applying Fuzzy Hypothesis Testing to Medical Data
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Fuzzy statistics: hypothesis testing
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Implementing Interval Type-2 Fuzzy Processors [Developmental Tools]
IEEE Computational Intelligence Magazine
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This paper presents a simulation study on fuzzy tests vs. ANOVA test on means. Type-1, Interval Type-2 and ANOVA classical tests are compared through a simulated experiment for contrasting the stability of those approaches in front to a small change on sample. We perform an experiment of comparing the means of three groups where the classical ANOVA test is very nearby to the rejection p-value and the fuzzy tests get more robust results. In this way, we use bootstrap concepts to simulate the change of a random value of the sample to view the behavior of each technique in front to these changes.