scholarly journals Post-Project Analysis Modeling of Environmental Impacts of Coal Mining Based on Structural Entropy Weight-Fuzzy Comprehensive Evaluation

2021 ◽  
Vol 826 (1) ◽  
pp. 012053
Author(s):  
Li Xiao-xing ◽  
Du Jun-kai ◽  
Fu Yao ◽  
Liu Jing-Jun ◽  
Di Ya-xiao ◽  
...  
2011 ◽  
Vol 328-330 ◽  
pp. 943-947
Author(s):  
Qiang Zhang ◽  
Bo Wang ◽  
Fang Wei Liao

In this article, the entropy weight and fuzzy comprehensive evaluation methods is applied to Ecological Benefit of cold-formed thin-walled steel residential structure. Designed indicators system of Ecological benefits about cold-formed thin-walled steel residential structure, we divided into nine indicators in the system, then we grant questionnaire through selecting experts of project benefits Evaluation and experts on study about cold-formed thin-walled steel residential structure, Scoring the importance of eco-efficiency indicators, Using the Entropy weight to determine the weights of evaluation indexes, then combining with fuzzy comprehensive evaluation model, comprehensive evaluation on a variety of factors is made, analyzing ecological benefits about cold-formed thin-walled steel residential structure, eventually the result of Comprehensive Evaluation of Ecological benefits about cold-formed thin-walled steel residential structure is obtained.


Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao

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.


2013 ◽  
Vol 368-370 ◽  
pp. 1361-1365
Author(s):  
Lei Bi ◽  
Bing Yu Ren ◽  
Deng Hua Zhong ◽  
Lian Xing Hu

Traditional project evaluation and optimal selection based on multi-objective programming and Delphi is highly dependent on subjective cognition, difficult to define weighted coefficient and without considering the uncertainty of the indexes. To solve these problems, this paper builds a multi-level fuzzy comprehensive evaluation model for the evaluation and optimal selection of diversion tunnels construction simulation schemes, and unites entropy weight and analytic hierarchy process (AHP) to calculate composite index weights. Through the comprehensive evaluation in a real-life diversion tunnels, this method is proved advanced and intuitive for giving objective evaluations and providing optimization suggestions for program development.


2011 ◽  
Vol 383-390 ◽  
pp. 5321-5326
Author(s):  
Chun Yu Yu ◽  
Kai Li Zhang ◽  
De Zhong Ma ◽  
Zhen Zhou

With regard to the problem that only single index has been used in assessment of reliability, a suitable comprehensive assessment method about reliability index of electromagnetic flowmeter was established, and Mean Time To First Failure(MTTFF), Mean Time Between Failure(MTBF) and equivalent failure rate(D) were selected as the standards of reliability evaluation for the electromagnetic flowmeter in this paper. Because many evaluation elements involved and failure information and evaluation indexes are fuzzy, fuzzy comprehensive evaluation based on entropy weight was introduced to quantify the qualitative evaluation indexes, and indexes weight were determined scientifically by using comprehensive evaluation obtained from combining a subjective expert’s evaluation weight with objective entropy weight. Two kinds of the domestically produced electromagnetic flowmeter were studied, the censored data obtained from the process of consumers’s use were analyzed, and fuzzy comprehensive evaluation method based on entropy weight was used to evaluate the indexes of reliability in two kinds of electromagnetic flowmeter comprehensively. The results show that the conclusion is consistent with the fact, the method can effectively solve the problem existed in current modeling, and evaluation of electromagnetic flowmeter reliability has great practical value in the application.


2014 ◽  
Vol 953-954 ◽  
pp. 1663-1667
Author(s):  
Yi Fang Si ◽  
Jun Qi Yu ◽  
Bo Dang ◽  
Jian Heng Huang

Sustainability assessment of intelligent buildings involves multiple indicators and parameters, multi-criteria decision-making and multiple variables model. In order to solve the problem: firstly, identify the key performance indicators of the sustainability related to intelligent buildings (environmental, social, economic and technological factors);optimize the selected indicators with both experts knowledge and measurable data; secondly, develop a new model for measuring the level of sustainability for intelligent buildings. The data acquisition of objective indicators for intelligent buildings is based upon the wireless wearable sensors networks, and the subjective indicators connected with expert experience derived through questionnaire surveys. Using a consensus-based model, which is analyzed by the analytical hierarchical process (AHP) for multi-criteria decision-making. Using the multi-attribute model based on structure entropy weight methodology and fuzzy comprehensive evaluation for priority and weight setting in the sustainability assessment is studied. It is concluded that the whole system not only acquires multiple data but also gets available and reliable assessment for the sustainability of intelligent buildings.


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.


Author(s):  
Mingwang Zhang ◽  
Kebin Shi

Abstract The extent of reservoir sedimentation is an important index related to the functional operation of reservoirs. Therefore, it is vital to accurately conduct sedimentary assessment. In this paper, the analytic hierarchy process was used to determine subjective weights, gray correlation analysis and entropy weight method were used to determine objective weights. The combination weights obtained using optimized combination weighting method based on genetic algorithm were more suitable for the comprehensive analysis of the impact of reservoir sedimentation. This was then used to constructed a multi-level fuzzy comprehensive evaluation model based on improved cloud model. A reservoir was selected as the study object, and its sedimentation impact level was evaluated: the numerical characteristics of the stratus cloud of the comment on the impact of the reservoir sedimentation were (0.6372, 0.0664, 0.0795). The results showed that the reservoir sedimentation is considered as severe influence, and the sedimentation has become a major problem that needed to be solved urgently. The results of this paper could provide insight for reservoir research domestically and abroad. Furthermore, it could also enable managers to more accurately grasp the severity of reservoir sedimentation.


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