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A new approach for bootstrap testing fuzzy hypotheses based on fuzzy test statistic is introduced.
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In next step, fuzzy hypothesis analysis is performed on conclusions of the decision makers for comparison of all alternatives for each attribute.
With normal approximation to the distribution of the estimated SPK, two useful criteria for fuzzy hypothesis testing, critical value and fuzzy p-value, are developed to assess process yield based on SPK.
It is too difficult to ascertain how long each phase will last because each recovery phase is unique, which confirms the fuzzy boundary hypothesis.
Axiomatic fuzzy set theory.
The hypothesis that fuzzy measures can achieve this is proven true.
In this paper we describe bootstrap method that is designed directly for hypothesis testing for fuzzy data based on Yao Wu signed distance.
In order to test the applicability of fuzzy logic for the mathematical hypothesis given in (1) and increase the performance of local sensing, we propose an FLD scheme for the final decision (presence or absence of a PU).
In 1995, the British Medical Journal published an editorial implying that the Barker hypothesis was "broad and fuzzy" and had yet to be "subjected to an ordeal" of rigorous scientific attack.
Our approach uses neither classifiers nor models based on pre-specified hypotheses: instead, it relies on Fuzzy Cognitive Maps (FCMs), which are artificial intelligence tools used to represent human knowledge.
The approaches most used here are: fuzzy logic models, Dempster Shafer's mathematical theory of evidence, Multiple Hypothesis Technique (MHT) or Bayesian inferences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com