在本文的综合评价中，对于每一个指标设定五个级别评语，即V=[V1，V2

在本文的综合评价中，对于每一个指标设定五个级别评语，即V=[V1，V2，V3，V4]= [优良中差]，并且赋值为V=[4，3，2，1]由多位经验丰富的人员对指标价值体系进行评估，由每个专家单独对指标层的每个指标进行等级打分。由于指标的模糊性，可以综合每个人对该指标的打分次数，得出该指标属于某个评语等级的隶属度，取多位赞同该指标的评语等级的比重为隶属度，从而建立单因素模糊综合评判矩阵，计算结果如下：

0/5000

源语言: -

目标语言: -

结果 (英语) 1: [复制]

复制成功！

In the comprehensive evaluation of this article, five levels of comments are set for each indicator, that is, V=[V1, V2, V3, V4]= [good and poor], and the value is V=[4,3,2,1 ] A number of experienced personnel evaluate the indicator value system, and each expert individually grades each indicator in the indicator layer. Due to the ambiguity of the indicator, we can synthesize the number of points each person has scored on the indicator to obtain the membership degree of the indicator belonging to a certain comment level, and take the proportion of multiple comments that agree with the indicator as the membership degree, thereby establishing a single-factor fuzzy Comprehensive evaluation matrix, the calculation results are as follows:

正在翻译中..

结果 (英语) 2:[复制]

复制成功！

In the comprehensive evaluation of this paper, five levels of evaluation are set for each indicator, i.e. V1, V2, V3, V4, and the assignment is V, 4, 3, 2, 1, by a number of experienced personnel to evaluate the value system of the indicator, by each expert to rate each indicator of the indicator layer. Because of the ambiguity of the indicator, it can be combined with the number of times each person rated the indicator, to get that the indicator belongs to a certain rating level of membership, take more than one approval of the evaluation level of the indicator of the proportion of membership, so as to establish a single-factor fuzzy comprehensive evaluation matrix, the calculation results are as follows:

正在翻译中..

结果 (英语) 3:[复制]

复制成功！

In the comprehensive evaluation of this paper, five levels of evaluation are set for each index, namely v = [V1, V2, V3, V4] = [excellent, medium and poor], and the assignment is v = [4, 3, 2, 1]. A number of experienced personnel evaluate the index value system, and each expert scores each index of the index layer separately. Because of the fuzziness of the index, the membership degree of the index belonging to a certain evaluation grade can be obtained by synthesizing the scoring times of each person, and the proportion of the evaluation grade that many people agree with the index is taken as the membership degree, so as to establish a single factor fuzzy comprehensive evaluation matrix

正在翻译中..

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