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Statistical nonparametric test based on the intuitionistic fuzzy data. (English) Zbl 1291.62109
Summary: A nonparametric approach for testing statistical hypotheses based on intuitionistic fuzzy data is presented. According to the proposed approach, first, a confidence interval based on intuitionistic fuzzy data is defined, which are then used to make a procedure for testing statistical hypotheses. To evaluate statistical hypotheses, a new criteria, called degree of acceptance (DA), has been proposed.

MSC:
62G86 Nonparametric inference and fuzziness
62G10 Nonparametric hypothesis testing
62G15 Nonparametric tolerance and confidence regions
68T05 Learning and adaptive systems in artificial intelligence
68T37 Reasoning under uncertainty in the context of artificial intelligence
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