On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
This paper deals with the testing of statistical hypotheses when the sample is fuzzy. The authors prove a fuzzy version of the Neyman-Pearson lemma and give a fuzzy Bayes test for testing a simple hypothesis against a simple alternative. A sequel to the paper under review is the authors' paper in Eur. J. Oper. Res. 27, 371-382 (1986; Zbl 0605.62018)].
fuzzy version of the Neyman-Pearson lemma
scientific article; zbMATH DE number 3988456
scientific article