Abstract
We show that the best test for fuzzy hypotheses in the Bayesian framework is equivalent to Neyman-Pearson lemma in the classical statistics.
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Mohammadpour, A., Mohammad-Djafari, A. (2006). On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_9
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DOI: https://doi.org/10.1007/3-540-34777-1_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34776-7
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