2.2改进模糊层次综合评价传统的模糊综合评价法通过隶属度函数诠释评价指

2.2改进模糊层次综合评价传统的模糊综合评价法通过隶属度函数诠释评价指标和评价等级间的模糊关系，充分体现了模糊分析在综合评价中的优势；但由于指标选取的主观性、权重赋值的片面性、综合评价方法容易引起数据丢失，最终导致评价结果不尽合理。因此，对模糊综合评价作如下改进，使分析评价更客观准确。

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结果 (英语) 1: [复制]

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2.2 Modified Fuzzy comprehensive evaluation of <br>the traditional fuzzy comprehensive evaluation fuzzy relationship between the evaluation index and rank by membership function interpretation, fully embodies the fuzzy analysis advantages in comprehensive evaluation; but the index selection of subjectivity, the weight assignment sidedness, comprehensive evaluation method is easy to cause data loss, eventually leading to the evaluation results are not reasonable. Therefore, the fuzzy comprehensive evaluation to make the following improvements to make the evaluation more objective and accurate analysis.

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结果 (英语) 2:[复制]

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2.2 Improving the comprehensive evaluation of fuzzy levels<br>The traditional fuzzy comprehensive evaluation method fully embodies the advantages of fuzzy analysis in the comprehensive evaluation by interpreting the fuzzy relationship between the evaluation index and the evaluation level by the membership function, but because the subjectiveness of the index selection, the one-sidedness of the weight assignment and the comprehensive evaluation method can easily cause data loss, which leads to the result that the evaluation results are not reasonable. Therefore, the fuzzy comprehensive evaluation is improved as follows, so that the analysis and evaluation is more objective and accurate.

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结果 (英语) 3:[复制]

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2.2 improved fuzzy level comprehensive evaluation<br>The traditional fuzzy comprehensive evaluation method fully embodies the advantages of fuzzy analysis in the comprehensive evaluation by interpreting the fuzzy relationship between the evaluation index and the evaluation grade through the membership function; however, due to the subjectivity of index selection, the one-sided weight assignment, and the data loss caused by the comprehensive evaluation method, the evaluation result is unreasonable. Therefore, the fuzzy comprehensive evaluation is improved as follows to make the analysis and evaluation more objective and accurate.<br>

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