On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
type: Item
instance of: scholarly article
title: On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
zbMATH Open document ID: 0611.62018
DOI: 10.1016/0165-0114(86)90076-X
published in: Fuzzy Sets and Systems
publication date: 1986-01-01T00:00:00Z
review text: 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)].
reviewed by: Osmo Kaleva
Mathematics Subject Classification ID: 62F03
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 3988456
zbMATH Keywords: fuzzy information
zbMATH Keywords: fuzzy test
zbMATH Keywords: fuzzy random sample
zbMATH Keywords: fuzzy version of the Neyman-Pearson lemma
zbMATH Keywords: fuzzy Bayes test
zbMATH Keywords: simple hypothesis
author: M. Ángeles Gil
author: María Rosa Casals
author: Pedro Gil
MaRDI profile type: Publication
cites work: Q3734846
cites work: Q5532825
cites work: Q5600574
cites work: The fuzzy decision problem: An approach to the point estimation problem with fuzzy information
cites work: L-fuzzy sets
cites work: Q5586854
cites work: Fuzzy random variables - I. Definitions and theorems
cites work: Q3262608
cites work: Q3868589
cites work: Q4091811
cites work: Q4125549
cites work: Fuzzy sets
cites work: Probability measures of fuzzy events
full work available at URL: 0165-0114(86)90076-x
OpenAlex ID: W2001017960
description: scientific article; zbMATH DE number 3988456