scholarly journals Comprehensive Evaluation of Music Course Teaching Level Based on Improved Multi-attribute Fuzzy Evaluation Model

Author(s):  
Liuqing Yang

Aiming at the problems of multi-attribute fuzzy information and imperfect evaluation system existing in the current evaluation process of music course teaching level, the paper studies the multi-attribute fuzzy evaluation of music course teaching level, analyzes the influencing factors of music course teaching level, and establishes an improved music course teaching level evaluation system; then on this basis, combining with the fuzzy system theory, grey system theory and entropy weight method, it proposes a multi-attribute fuzzy evaluation model of music course teaching level to realize the quantitative analysis of music course teaching level, which has good engineering application value. At the same time, the paper also puts forward some strategies and suggestions to improve the teaching level of music courses, which are of good guidance and reference significance for improving the teaching quality of music courses.

Author(s):  
Bin Liu

The teaching quality of dancesport is affected by multiple factors. Facing uncertain information, there is not yet a perfect indicator system to evaluate the teaching quality of dancesport. This paper attempts to develop a multi-attribute fuzzy evaluation model for dancesport teaching quality. Firstly, the connotations of dancesport teaching quality were identified through theoretical analysis. Next, the evaluation indicator system for dancesport teaching quality was improved based on the connotations. After that, a multi-attribute fuzzy evaluation model was established, drawing on fuzzy theory and grey system theory. Finally, several suggestions were presented to improve the teaching quality of dancesport. The research results provide an effective way to accurately measure dancesport teaching quality.


Author(s):  
Yao Wang ◽  
Chunyan Sun ◽  
Ying Guo

There are two major problems with teaching quality evaluation of physical education (PE) in colleges: the excessive number of evaluation factors, and the incomplete evaluation system. To solve the problems, this paper puts forward a multi-attribute fuzzy evaluation model of college PE teaching quality, and provides the strategies to implement the model. Firstly, the problems of college PE teaching were analyzed, and a novel multi-dimensional evaluation system was developed for college PE teaching quality. To quantify college PE teaching quality, an evaluation model of college PE teaching quality was established based on the Grey Relational Analysis (GRA). In addition, several strategies were presented to improve college PE teaching quality. The proposed model and strategies provide a good reference for solving similar complex system problems.


2012 ◽  
Vol 518-523 ◽  
pp. 3703-3706
Author(s):  
Ling Ping Zhao ◽  
Fen Ge Zhang ◽  
Liang Fei Dong ◽  
Yong Wei ◽  
Bao Hua Tu ◽  
...  

According to the fuzziness of water quality in water distribution system, based on the simulation data of water quality obtained by using EPANET software,and applying entropy weight theory in the fuzzy evaluation of water quality, fuzzy evaluation model of water quality based on entropy weight and EPANET is established. Water quality in water distribution system of Hengshanqiao town is evaluated by using this method.Evaluation results are relatively objective and credible, proving that the method is simple and practical, scientific and reliable.


2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li

In the paper, we establish an evaluation system in the study of four aspects such as people, regulation, equipment and technology management, field management and engineering construction. We present an entropy weight multi-level fuzzy comprehensive evaluation model in power plant security on the basis of reliability identification. Firstly, it identifies the reliability of power plant security evaluation system. Secondly, it can meet the condition that the system is reliable. Then it obtains the indicator weight of all levels in the evaluation system by the entropy weight method. Finally, it carries out a comprehensive evaluation in power plant security by the multi-level fuzzy evaluation method.


2011 ◽  
Vol 255-260 ◽  
pp. 3228-3233 ◽  
Author(s):  
Zong Bin Liu ◽  
Wei Shui Fei ◽  
Pei Guan Wu ◽  
Fei Chen

Making reference to the process of cement concrete pavement evaluation about current design, construction quality examination,highway maintenance management code, this paper builds up a hierarchy process and fuzzy evaluation model about the cement concrete pavement on the basis of the fuzzy mathematics theory, and confirms the weight of every process by the analytic hierarchy process, trying to elicit the import of each index, and sets up an evaluation system of the cement concrete pavement.


Author(s):  
Xiaokun Zhao ◽  
Chao Zheng

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.


2012 ◽  
Vol 591-593 ◽  
pp. 2540-2544
Author(s):  
Huai Cao ◽  
Xiao Hui Wang ◽  
Fei Yi Mao ◽  
Chong Feng

The color comfort degree is the fundamental principle of the color design in industrial environment. Based on the fuzzy synthetic evaluation model in fuzzy mathematics, the new model uses analytic hierarchy process to constitute a factor set which will affect the assessing of the colour comfort degree, and analyses the existing research data and applies the grey system theory when the data of some factors are insufficient, to quantify the weight and set up the change curve of the factors. By fuzzy evaluating the comfort degree of each factor with the data on the curve, the new model reduces the subjective judgments in the evaluation model and updates to a more objective and accurate evaluation system-the double-layer fuzzy synthetic evaluation model.


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