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- W2920486556 abstract "Testing hypotheses could sometimes benefit from the fuzzy context of data or from the lack of precision in specifying the hypotheses. A fuzzy approach is therefore needed for reflecting the right decision regarding these hypotheses. Different methods of testing hypotheses in a fuzzy environment have already been presented. On the basis of the classical approach, we intend to show how to accomplish a fuzzy test. In particular, we consider that the fuzziness does not only come from data but from the hypotheses as well. We complete our review by explaining how to defuzzify the fuzzy test decision by the signed distance method in order to obtain a crisp decision. The detailed procedures are presented with numerical examples of real data. We thus present the pros and cons of both the fuzzy and classical approaches. We believe that both approaches can be used in specific conditions and contexts, and guidelines for their uses should be identified." @default.
- W2920486556 created "2019-03-11" @default.
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- W2920486556 date "2019-01-01" @default.
- W2920486556 modified "2023-09-25" @default.
- W2920486556 title "Testing Hypotheses by Fuzzy Methods: A Comparison with the Classical Approach" @default.
- W2920486556 cites W1987197156 @default.
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- W2920486556 doi "https://doi.org/10.1007/978-3-030-03368-2_1" @default.
- W2920486556 hasPublicationYear "2019" @default.
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