scholarly journals College PE Teaching Quality Evaluation Model Based on Multilevel Fuzzy Analysis Comprehensive Evaluation Method

Author(s):  
Xiuhua Wu ◽  
Xingyu Huang
2013 ◽  
Vol 361-363 ◽  
pp. 954-957
Author(s):  
Xiao Ping Zhang ◽  
Wen Jie Xu ◽  
Wei Guo Chen

The defects of present fuzzy comprehensive evaluation model based on interval value are pointed out. To improve these defects, a new calculation method of fuzzy membership degree is provided and a fuzzy comprehensive evaluation model based on interval number distance is built. This model is applied to Lake Dongchang. And it can be indicated that the proposed model is reasonable and practical.


2018 ◽  
Vol 35 (3) ◽  
pp. 3091-3099 ◽  
Author(s):  
Kong Haining ◽  
Fan Hejun ◽  
Zhao Yan ◽  
Zhai Chunjuan ◽  
Zhang Chen ◽  
...  

2014 ◽  
Vol 886 ◽  
pp. 552-555
Author(s):  
Chun Hua Mao

The teaching quality evaluation of business English translation is a key basis to discover the teaching problems of business English translation and to promote the teaching quality. Compared with the traditional teaching quality evaluation method, support vector machine which is a type of information applied technology has many unique advantages, such as high accuracy, easily operation and fast implementation. This paper studies the current teaching quality on the basis of business English translation, and establishes the teaching quality evaluation model of business English translation based on SVM, and the experimental results show the superiority and validity of this method in the teaching quality assessment of business English translation.


2013 ◽  
Vol 779-780 ◽  
pp. 1619-1622 ◽  
Author(s):  
Jun Pan ◽  
Bo Yao Li ◽  
Ming Cen Jiang

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.


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