Statistical nonparametric test based on the intuitionistic fuzzy data

Authors:
Mohammad Ghasem Akbari;Mohsen Arefi
Affiliations:
Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran;Department of Statistics, Faculty of Mathematical Sciences and Statistics, University of Birjand, Birjand, Iran
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2013

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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.