scholarly journals Urban Stormwater Resilience Assessment Method Based on Cloud Model and TOPSIS

2021 ◽  
Vol 19 (1) ◽  
pp. 38
Author(s):  
Han Qiao ◽  
Jingjing Pei
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Indicator System ◽  
Assessment Method ◽  
Ranking Method ◽  
Ideal Solution ◽  
Urban Resilience ◽  
Urban Stormwater ◽  
Evaluation Theory ◽  
Evaluation Indicator System

To scientifically and quantitatively evaluate the degree of urban storm resilience and improve the level of urban stormwater resilience, based on the resilience theory, starting from the three attributes of resilience (resistance, recovery and adaptability), this paper establishes the framework of urban resilience evaluation indicator system under the background of stormwater disaster. Firstly, the weight of the indicator system is analyzed by the Delphi method and cloud model, and then the urban stormwater recilience evaluation model is constructed by using the cloud model and approximate ideal solution ranking method. Through the fuzzy description, the corresponding quantitative value is given to the qualitative indicator, so that the stormwater resilience of the city can be measured by accurate values. Finally, the feasibility of the model is verified by case analysis. The results show that the urban stormwater resilience evaluation theory and method based on cloud model and approximate ideal solution ranking method have important guiding significance to improve the level of urban stormwater resilience.

scholarly journals A New Quantitative Method for Risk Assessment of Coal Floor Water Inrush Based on PSR Theory and Extension Cloud Model

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bingyou Jiang ◽  
Bo Ren ◽  
Mingqing Su ◽  
Bao Wang ◽  
Xin Li ◽  
...  
Keyword(s):  
Coal Seam ◽  
Cloud Model ◽  
Evaluation Model ◽  
Water Inrush ◽  
Indicator System ◽  
Working Face ◽  
Actual Evaluation ◽  
Evaluation Indicator System ◽  
Floor Water Inrush ◽  
Cloud Theory

In order to scientifically and reasonably assess the risk of water inrush from the coal seam floor, considering the influence of natural environmental factors such as hydrogeology, mining, and human intervention, the PSR model of ecosystem health evaluation was introduced, and the risk evaluation indicator system of water inrush from the coal seam floor was established. In order to solve the randomness and fuzziness of water inrush event evaluation, the evaluation model is constructed based on extension cloud theory and is applied in the 12123 working face of Pan Er coal mine of Huainan Mining Group. The application results show that the evaluation results are basically consistent with the actual situation, which shows that the model can be used in the actual evaluation work and is scientific.

scholarly journals Emergency Situation Safety Evaluation of Marine Ship Collision Accident Based on Extension Cloud Model

2021 ◽  
Vol 9 (12) ◽  
pp. 1370
Author(s):  
Yiyang Zou ◽  
Yingjun Zhang ◽  
Zhihong Ma
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Emergency Situation ◽  
Indicator System ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method ◽  
Evaluation Indicator System ◽  
Weight Method

After collisions at sea, situation evaluation and analysis are very important to follow-up rescue operations. At present, there are few ways give weights in the current situational safety evaluation methods after collisions of marine ships. Most safety evaluation models ignore the blurred boundaries of evaluation grades. To solve these issues, this paper identifies the safety evaluation indicator system and evaluation standards, and establishes an after-collisions safety evaluation model of maritime ships based on the extension cloud theory. This model combines the extension cloud model, the analytic hierarchy process, the entropy weight method, and game theory. Using this model, the situation safety of two collisions was evaluated. The evaluation results reflect the effectiveness of the model. In order to ensure the safety of the lives and property of marine personnel, suggestions have been made to strengthen crew training, improve ship’s self-rescue ability at sea, and establish a complete marine emergency response rescue system.

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.

The Research on Commercial Modes of Smart Grid Value-Added Services Based on BSC Theory

2014 ◽  
Vol 1070-1072 ◽  
pp. 1371-1377
Author(s):  
Lin Liu ◽  
Bo Hu ◽  
Han Huang ◽  
Zhi Nan Kan
Keyword(s):  
Smart Grid ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Rapid Development ◽  
Value Added ◽  
Indicator System ◽  
Fiber To The Home ◽  
Value Added Service ◽  
Important Approach ◽  
Evaluation Indicator System

Smart Grid value-added service is an important approach to utilize the potential of smart grid infrastructure. The scientific and rational commercial mode of smart grid value-added service can promote smart grid integrated projects from the pilot to comprehensive application. In this paper, the definition and content of smart grid value-added services commercial mode were studied. According to commercial model theory and evaluation methods, based on balanced scorecard theory, evaluation indicator system was established, evaluation model was proposed based on TOPSIS combined with Delphi and AHP (DAHP-TOPSIS). Through the example of PFTTH (Power fiber to the home) project, the analysis results show that the indicator system and the evaluation model proposed in this paper is useful for the selection of appropriate commercial mode and promote the rapid development of smart grid new services.

scholarly journals Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 474 ◽  
Author(s):  
Yunfu Qin ◽  
Menglu Li ◽  
Gejirifu De ◽  
Liling Huang ◽  
Shenbo Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Extreme Learning Machine ◽  
Carbon Emissions ◽  
Evaluation Model ◽  
Indicator System ◽  
Practical Significance ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Learning Machine

Carbon emissions and environmental protection issues have become the pressure from the international community during the current transitional stage of China’s energy transformation. China has set a macro carbon emission target, which will reduce carbon emissions per unit of Gross Domestic Product (GDP) by 40% in 2020 and 60–65% in 2030 than that in 2005. To achieve the emission reduction target, the industrial structure must be adjusted and upgraded. Furthermore, it must start from a high-pollution and high-emission industry. Therefore, it is of practical significance to construct a low-carbon sustainability and green operation benefits of power generation enterprises to save energy and reduce emissions. In this paper, an intuitionistic fuzzy comprehensive analytic hierarchy process based on improved dynamic hesitation degree (D-IFAHP) and an improved extreme learning machine algorithm optimized by RBF kernel function (RELM) are proposed. Firstly, we construct the evaluation indicator system of low-carbon sustainability and green operation benefits of power generation enterprises. Moreover, during the non-dimensional processing, the evaluation index system is determined. Secondly, we apply the evaluation indicator system by an empirical analysis. It is proved that the D-IFAHP evaluation model proposed in this paper has higher accuracy performance. Finally, the RELM is applied to D-IFAHP to construct a combined evaluation model named D-IFAHP-RELM evaluation model. The D-IFAHP evaluation results are used as the input of the training sets of the RELM algorithm, which simplifies the comprehensive evaluation process and can be directly applied to similar projects.

scholarly journals Risk Evaluation Model of Life Loss Caused by Dam-break Flood and Its Application

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1359 ◽  
Author(s):  
Wei Li ◽  
Zongkun Li ◽  
Wei Ge ◽  
Sai Wu
Keyword(s):  
Risk Evaluation ◽  
Population Distribution ◽  
Evaluation Model ◽  
Indicator System ◽  
Scientific Basis ◽  
Dam Break ◽  
Fuzzy Evaluation ◽  
Evaluation Indicator System ◽  
Internal Mechanism ◽  
Sets Theory

The internal mechanism affecting life loss caused by a dam-break flood is complicated. On the basis of analyzing the risk formation path, a risk evaluation indicator system was established which included the hazards, exposure and vulnerability factors. Variable Fuzzy Sets theory was introduced into the risk evaluation of life loss risk grades and applied to eight collapsed dams in China. According to the sequence of the risk grades of these dams, the evaluation result was mainly consistent with the actual mortality ranking sequence, showing that the model could be effectively applied to the risk evaluation of life loss in dam-break events. Aimed at the problem of large differences in the downstream population distribution of dams in China, this manuscript suggested that 10,000 people should be the basis for the grouping operation of dams in the risk evaluation. These Variable Fuzzy evaluation models and grouping suggestions could help stakeholders to allocate the funds for dam reinforcement more accurately and provide a scientific basis for the study of dam-break life loss and dam risk management.

scholarly journals A Talent Cultivation Model for Improving the Innovation Ability of College Students in Scientific Research

2020 ◽  
Vol 15 (18) ◽  
pp. 151
Author(s):  
Yanming Qi ◽  
Jingui Wang
Keyword(s):  
College Students ◽  
Evaluation Model ◽  
Scientific Research ◽  
Training Model ◽  
Indicator System ◽  
Entropy Weight ◽  
Gray System Theory ◽  
Entropy Weight Method ◽  
Innovation Ability ◽  
Evaluation Indicator System

The innovation ability of college students in scientific research is constrained by multiple factors. What is worse, the current talent training model in colleges faces many defects. To solve these problems, this paper aims to develop a talent cultivation model that effectively enhances the innovation ability of college students in scientific research. Firstly, the problems with the current talent cultivation model were analyzed, and then the evaluation indicator system was improved for the innovation ability of college students in scientific research. Next, entropy weight method and gray system theory were integrated to create an evaluation model that quantifies the innovation ability of college students in scientific research. On this basis, several strategies were put forward to improve the said ability. The research results help to effectively enhance the innovation ability of college students in scientific research, and optimize the talent cultivation model in colleges and universities.

scholarly journals Evaluation of City Sustainability from the Perspective of Behavioral Guidance

2019 ◽  
Vol 11 (23) ◽  
pp. 6808
Author(s):  
Ying Zhou ◽  
Weiwei Li ◽  
Pingtao Yi ◽  
Chengju Gong
Keyword(s):  
Social Economic ◽  
Evaluation Model ◽  
Indicator System ◽  
Economic Systems ◽  
Weighting Method ◽  
Evaluation Indicator ◽  
Environmental Systems ◽  
The Social ◽  
Evaluation Indicator System ◽  
City Policy

High-quality evaluation of city sustainability is an important part of city policy making and development. In this paper, we evaluated the sustainability of the 14 cities in Liaoning, China, from 2015 to 2017. Based on the comprehensive consideration of the interactions among the social, economic and environmental systems, the traditional evaluation indicator system is refined. We incorporate the attitude of decision makers into the evaluation model and propose an objective weighting method by considering data distribution to objectively guide the cities to develop towards the established goals. The empirical research results show that cities located in eastern Liaoning performed the best and in western Liaoning performed the worst. The performances of the 14 cities in Liaoning were not perfect. Both the evaluation values and growth rates of 7 cities (accounting for 50.00%) were lower than the overall average level. The evaluation values of the three systems of the 14 cities were not balanced. The evaluation values of the social, economic and environmental systems fluctuated within the range of [0.0159, 0.0346], [0.0151, 0.0677] and [0.0123, 0.0483], respectively. The social and economic systems of most cities supplied more for the environmental system than for the other system. Cities with higher environmental base rankings offered less supply to other systems. At the same time, we also provide some individualized and concrete suggestions for the guidance of city sustainable development. By comparing the empirical data with the reality, it confirms the credibility of the method and the recommendations in this paper.

The Optimum Selection of Instrument Flight Procedure Design Scheme Based on the Relative Superiority Degree

2011 ◽  
Vol 255-260 ◽  
pp. 4070-4074
Author(s):  
Chen Ken
Keyword(s):  
Traffic Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Indicator System ◽  
Specialized Knowledge ◽  
Evaluation Indicator ◽  
Design Scheme ◽  
Optimum Selection ◽  
Evaluation Indicator System ◽  
Selection Of

The optimum selection of instrument flight procedure design scheme is very important to the enhancement of capacity of terminal area, and to the work quality and efficiency of air traffic management and flight safety. However, in practice, the optimum selection is often made by experts based on their on their specialized knowledge and experience. This human-made selection in most cases could be biased or not optimum. To address this problem, we present an evaluation method based on the relative superiority degree technique. This method makes full use of evaluation information and makes unbiased optimum selection with very low human interference. We give details of using this method in this paper, including constructing evaluation indicator system, obtaining values of each indicator; building evaluation model based on relative superiority degree and finding solution of the model, etc. At the end of this paper, we present a numerical example to demonstrate the feasibility of this method.

A novel method of risk assessment based on improved AHP-Cloud model for freezing pipe fracture

2021 ◽  
pp. 1-14
Author(s):  
Fuwei Liu ◽  
Yansen Wang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Evaluation Model ◽  
Assessment Method ◽  
Evaluation Index System ◽  
Risk Level ◽  
Depth Analysis ◽  
New Research

The freezing pipe fracture can cause freezing wall to thaw and even lead to major accidents such as mine flooding easily, which seriously threatens the safety in construction. Therefore, scientific and effective comprehensive risk assessment for freezing pipe fracture is of great significance. In this work, a risk assessment method is put forward based on improved AHP-Cloud model with 19 evaluation indicators. First, the multi-dimension evaluation index system and evaluation model are established, on the basis of in-depth analysis of the risk factors that may lead to accidents. Second, synthesizing the normalization process and the improved analytic hierarchy process (AHP), the evaluation grade cloud and comprehensive evaluation cloud of freezing pipe fracture can be acquired by using the forward cloud generator. Finally, According to the max-subjection principle and the comprehensive evaluation method, we obtain the risk level of freezing pipe fracture. The model is applied to Yangcun Coal Mine. It has been verified that the risk assessment problem of freezing pipe fracture in freezing sinking can be successfully solved by the model we proposed. Above all, the study offers a new research idea for the risk management of freezing pipe fracture in freeze sinking.

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