scholarly journals Open-channel landslide hazard assessment based on AHP and fuzzy comprehensive evaluation

2020 ◽  
Vol 20 (8) ◽  
pp. 3687-3696
Author(s):  
Xi Wang ◽  
Shuangyin Wang ◽  
Jiashuo Qi
Keyword(s):  
Water Supply ◽  
Hazard Assessment ◽  
Open Channel ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Water Diversion ◽  
Comprehensive Evaluation Model ◽  
Hazard Level

Abstract Cross-regional water diversion projects usually face risks of hazards, in particular high risks of sudden landslides on the slopes of water supply open channels. Determining the hazard level rapidly after a hazard occurs plays a critical role in improving the efficiency of emergency response and recovering the water supply capacity of the projects. Through in-depth analysis of the factors that affect the severity of open-channel landslides, an indicator system for hazard assessment of open-channel landslides was established and the criteria for evaluation of different hazard levels were identified. Based on the hierarchy of the indicator system, a two-level fuzzy comprehensive evaluation model was established to assess the impact of indicators in the model on the hazard level of open-channel landslides, and the weight of each indicator was determined by the analysis hierarchy process. The linear function was used to calculate the membership degree of each indicator to determine the hazard level. A hazard scenario was created with the water diversion project from the Irtysh River to Urumqi as an example, and the two-level fuzzy comprehensive evaluation model was applied to conduct hazard assessment. The proposed method was confirmed to be reasonable and practical.

Condition Assessment of Regenerative Heater Based on Fuzzy Comprehensive Evaluation

2014 ◽  
Vol 687-691 ◽  
pp. 206-211
Author(s):  
Wei Dong Zheng ◽  
Pei Hong Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Fuzzy Evaluation ◽  
Level Indicator ◽  
Comprehensive Evaluation Model ◽  
Evaluation Indicator System ◽  
Definition Of ◽  
Fuzzy Mathematic

In order to evaluate the performance of regenerative heater comprehensively and scientifically, the fuzzy comprehensive evaluation model of regenerative heater is proposed on the basis of fuzzy mathematic theory as well as the relevant background knowledge of the problem. In the fist-level fuzzy comprehensive evaluation model, the evaluation indicator system was established taking the influence of the turbine load into consideration. The definition of “excellence degree” was given to show the relative approach degree between the quantitative indicator and the excellent indicator. Membership functions of fuzzy evaluation set were constructed based on the excellence degree. Knowledge in terms of twenty experts’ experience and historical data was used to determine the indicator weight set. In the second-level indicator fuzzy comprehensive evaluation model, four composition operator models were selected to conduct the fist-level evaluation. The proposed model turns out to be feasible and effective by three typical load conditions.

scholarly journals Quantitative Assessment of City’s Smart Growth Level in China Using Fuzzy Comprehensive Evaluation

2018 ◽  
Vol 175 ◽  
pp. 04023
Author(s):  
Jie Min ◽  
Baoquan Cheng ◽  
Shunxiang Gao ◽  
Zhenjie Luo ◽  
Kai Zhu ◽  
...  
Keyword(s):  
Quantitative Assessment ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Smart Growth ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Development Plan ◽  
Large Cities ◽  
Comprehensive Evaluation Model

In this paper we develop an indicator system to evaluate the Smart Growth Level based on 3E’s principles and calculate the Smart Growth Level of 70 mid-scale and large cities in China using fuzzy comprehensive evaluation model. We also divide these cities into four grades: outstanding, good, normal and terrible. The results are significant for governments to design a reasonable development plan.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

Fuzzy Comprehensive Evaluation of Human Performance Management

2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi
Keyword(s):  
Performance Management ◽  
Evaluation System ◽  
Human Performance ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Process ◽  
College Performance ◽  
Performance Evaluation System ◽  
Comprehensive Evaluation Model

In the College, performance evaluation system is directly related to the harmonious development of the school. Taking into account the factors in the evaluation system is fuzzy, so this paper uses fuzzy comprehensive evaluation model. But the model is too subjective, so this paper combines neural network and data envelopment analysis method, which ensures that fuzzy comprehensive evaluation model is reasonable and scientific, and good school development and teacher self-interest. The performance assessment process, not only enables the combination of qualitative and quantitative analysis, but also fair and reasonably reflect the achievements of teachers, while this method is easy to use, wide application, and can be well applied in practice.

Evaluation of emergency management capability of urban community based on entropy weight and multi-layer fuzzy

2021 ◽  
pp. 1-9
Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao
Keyword(s):  
Emergency Management ◽  
Index System ◽  
Comprehensive Evaluation ◽  
Urban Community ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Weight ◽  
Management Capability ◽  
The World ◽  
Comprehensive Evaluation Model

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society”. Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less. To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory. In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic. The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective. This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value.

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