From the figure, we can see that the results of traditional fuzzy comprehensive evaluation tend to be conservative, and the evaluation of the principle of maximum membership empowered by analytic hierarchy process highlights the role of the most influential indicators, and its evaluation results tend to be consistent with the traditional fuzzy comprehensive evaluation; the evaluation of the principle of maximum membership empowered by entropy weight method balances the functions of each evaluation index, so that the evaluation results tend to be reasonable; and the evaluation results of the principle of maximum membership empowered by hierarchical entropy The combined evaluation makes full use of the weight information of each evaluation index, effectively avoids the subjectivity of the weight assignment, at the same time, the weighted average of the evaluation vector makes the evaluation grade continuous, avoids the decisive role of a single index on the evaluation results, makes the results more in line with the actual situation, and has better discrimination and credibility.<br>
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