Abstract
This paper deals with the problem of testing statistical hypotheses when both the hypotheses and data are fuzzy. To this end, we first introduce the concept of fuzzy p-value and then develop an approach for testing fuzzy hypotheses by comparing a fuzzy p-value and a fuzzy significance level. Numerical examples are provided to illustrate the approach for different cases.
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Parchami, A., Taheri, S.M. & Mashinchi, M. Testing fuzzy hypotheses based on vague observations: a p-value approach. Stat Papers 53, 469–484 (2012). https://doi.org/10.1007/s00362-010-0353-2
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DOI: https://doi.org/10.1007/s00362-010-0353-2