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Article type: Research Article
Authors: Akbari, Mohammad Ghasem | Arefi, Mohsen
Affiliations: Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran
Note: [] Correspondence to: Mohsen Arefi, Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran. Tel.: +98 561 2502103; Fax: +98 5612502041; E-mails: moh_Arefi@yahoo.com, Arefi@Birjand.ac.ir (M. Arefi); g_z_akbari@yahoo.com (M.Gh. Akbari).
Abstract: 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.
Keywords: Bootstrap method, degree of acceptance (DA), intuitionistic fuzzy confidence interval, intuitionistic fuzzy number, intuitionistic fuzzy set, Yao-Wu signed distance
DOI: 10.3233/IFS-2012-0657
Journal: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 525-534, 2013
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