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Fuzzy analysis method was combined with the hierarchical decomposition of the evaluation object.
The fuzzy analysis technique is suited to deal with models containing subjective non-deterministic parameters.
Fuzzy analysis of the first three natural frequencies is presented to illustrate the results and its performance.
The probabilistic analysis is supplemented with the fuzzy analysis of the influence of uncertainties on the failure probability.
A multiple index optimization method for ERT sensors is put forward which combines an orthogonal design and fuzzy analysis.
Aim of the presented cost-effectiveness fuzzy analysis is the evaluation of the effectiveness of monetary investments on the reduction of uncertainty of the analyzed forecast values.
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These weights have been calculated using fuzzy extent analysis method (section "Fuzzy synthetic extent analysis method").
This illustrates that the dynamic fuzzy clustering analysis method has good maneuverability and flexibility in the analysis of emotion. .
So fuzzy ApSS analysis is proposed.
The SMOK clustering algorithm based on the fuzzy cluster analysis method is used.
In this paper, a fuzzy gap analysis model is proposed to improve the practice of CPE.
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