Teaching Quality Assessment Model Based on Analytic Hierarchy Process and LVQ Neural Network

Author(s):  
Shuai Hu ◽  
Yan Gu ◽  
Hua Jiang
2012 ◽  
Vol 155-156 ◽  
pp. 143-147
Author(s):  
Xian Feng Wang ◽  
Xiang Qi Wang

The sports teaching quality assessment is a regular schools of higher learning education evaluation of a part, is promoting sports course building and improve the quality of education is an important measures. The current stage of evaluation method is uneven, so need to build a simple and effective, scientific and reasonable evaluation methods to measure the school sports teaching quality. The article to the analytic hierarchy process in the sports teaching the application of quality evaluation carried on the preliminary discussion, put forward the sports teaching quality hierarchical system, and establish the teaching quality assessment of the mathematical model, through the weight coefficient of each index system, more scientific and objective to evaluate teaching quality, easy operation, which is of great use value.


2013 ◽  
Vol 838-841 ◽  
pp. 245-249
Author(s):  
Yong Chun Cheng ◽  
Hong Bin Guo ◽  
Xian Qiang Wang ◽  
Yu Bo Jiao

In this paper, a new comprehensive assessment method of pile construction quality based on analytic hierarchy process is proposed considering that the current specification is uncertain about quality assessment. This method establishes the comprehensive assessment index system of pile construction quality taking account of the influence of the pile velocity, pile length, geological condition, bridge importance level, pile defects and other parameters on pile construction quality assessment. It constructs pile construction quality assessment model through determining the weight of each index based on analytic hierarchy process to improve the evaluation method of pile construction quality. The good results achieved in practical engineering demonstrate that the proposed method possesses favorable accuracy.


2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.


2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.


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