Akbari, Mohammad Ghasem; Arefi, Mohsen Statistical nonparametric test based on the intuitionistic fuzzy data. (English) Zbl 1291.62109 J. Intell. Fuzzy Syst. 25, No. 3, 525-534 (2013). 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. Cited in 4 Documents 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 Keywords:bootstrap method; degree of acceptance (DA); intuitionistic fuzzy confidence interval; intuitionistic fuzzy number; intuitionistic fuzzy set; Yao-Wu signed distance PDFBibTeX XMLCite \textit{M. G. Akbari} and \textit{M. Arefi}, J. Intell. Fuzzy Syst. 25, No. 3, 525--534 (2013; Zbl 1291.62109) Full Text: DOI