Fuzzy hypothesis testing with hybrid data
Fuzzy Sets and Systems
A note on the operativeness of Neyman-Pearson tests with fuzzy information
Fuzzy Sets and Systems
A fuzzy decision problem based on the generalized Neyman-Pearson criterion
Fuzzy Sets and Systems
Extension of fuzzy hypothesis testing with hybrid data
Fuzzy Sets and Systems
Bayesian sequential test for fuzzy parametric hypotheses from fuzzy information
Information Sciences—Intelligent Systems: An International Journal
Testing fuzzy hypotheses with crisp data
Fuzzy Sets and Systems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Testing statistical hypotheses with vague data
Fuzzy Sets and Systems
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The method for imposing imprecise (fuzzy) data upon the traditional ANOVA model is proposed in this article. We transact the h-level sets of fuzzy data for the sake of invoking traditional method of ANOVA for real-valued data. We propose the decision rules that are used to accept or reject the null and alternative hypotheses with the notions of pessimistic degree and optimistic degree by solving optimization problems. Finally, we provide a computational procedure and an example to clarify the discussions in this article.