The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy information
type: Item
instance of: scholarly article
title: The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy information
zbMATH Open document ID: 0605.62018
DOI: 10.1016/0377-2217(86)90333-4
published in: European Journal of Operational Research
publication date: 1986-01-01T00:00:00Z
review text: The authors introduce a method for using fuzzy information in the testing of statistical hypotheses. They adopt a decision theoretic approach. As indicated by the authors, the fuzziness appears only in the initial data whereas the final decision is crisp. Two decision procedures, the Bayesian and the minimax, are treated in detail and elucidated by examples.
reviewed by: Osmo Kaleva
Mathematics Subject Classification ID: 62F03
Mathematics Subject Classification ID: 62C99
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 3978127
zbMATH Keywords: risk function
zbMATH Keywords: fuzzy decision problem
zbMATH Keywords: Bayes fuzzy test
zbMATH Keywords: minimax fuzzy test
zbMATH Keywords: fuzzy information
author: M. Ángeles Gil
author: María Rosa Casals
author: Pedro Gil
MaRDI profile type: Publication
full work available at URL: 0377-2217(86)90333-4
OpenAlex ID: W2008510358
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description: scientific article; zbMATH DE number 3978127