Research on MOOC Course Evaluation Method Based on Cloud Model and Fuzzy Comprehensive Evaluation

Author(s):  
Xie Jingwei ◽  
Shi Yang ◽  
Wen Haolin
2014 ◽  
Vol 644-650 ◽  
pp. 2194-2197
Author(s):  
Jie Yao ◽  
Zhao Lin Wu ◽  
Zhi Yuan Xu ◽  
Yu Qing Ren

The safety evaluation of fishing vessels is a system and uncertain problem. A fishing vessel safety evaluation algorithm based on cloud model was proposed in this paper. Firstly, we established index system and weights by the AHP; Secondly, the cloud generator completed the conversion between qualitative and quantitative indicators; Thirdly, the evaluation cloud model was achieved by the comprehensive cloud algorithm; Finally, the forward cloud generator restored the droplet distribution. Compared with the fuzzy comprehensive evaluation method, the experimental results show that our work is effective and accurate.


2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Yunna Wu ◽  
Ting Zhang ◽  
Jing Wang ◽  
Ruhang Xu ◽  
Yuanxin Liu ◽  
...  

In order to cope with air pollution, China has formulated Beijing-Tianjin-Hebei cooperative supervision mechanism on air pollution prevention and control. Nevertheless, after several years’ effort, the air quality has improved significantly but far from reaching people’s needs. To improve the supervision strategies for meeting a better supervision and treatment effect, this paper will evaluate the effect of the cooperative supervision on air pollution and control in Beijing-Tianjin-Hebei and give several advices on the improvement of existing supervision method through results analyzation. Firstly, a comprehensive evaluation criteria system is established. Then a novel method of determining weight is firstly proposed in this paper, -fuzzy measure and AHP are used for determining weights which can not only consider the correlation among criteria but also take care of the will of the decision-makers. Finally, we obtain the evaluation ranking results by Fuzzy comprehensive evaluation combined with Cloud model and several advice is proposed. In general, the model can provide reference for monitoring and evaluating the effect of supervision on air pollution prevention and control in other regions and the results analysis provide a great reference to the decision makers to optimize the cooperative supervision in Beijing-Tianjin-Hebei.


2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.


2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.


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