scholarly journals Reliability Fuzzy Comprehensive Evaluation based on construction monitoring long-span arch truss

2021 ◽  
Vol 293 ◽  
pp. 02035
Author(s):  
Kongliang Chen ◽  
Guoqing Yuan ◽  
Liankun Wang
Keyword(s):  
Stand Structure ◽  
Comprehensive Evaluation ◽  
Theoretical Data ◽  
Fuzzy Comprehensive Evaluation ◽  
Deformation Monitoring ◽  
Structural Monitoring ◽  
Weighting Method ◽  
Construction Monitoring ◽  
Monitoring Process ◽  
Foot Deformation

The steel roof of the West Stand structure in Jiangmen Sports Center is a super-span space steel tube truss arch structure. In this article, the simulation analysis, and construction monitoring process, and the arch foot deformation monitoring is researched systematically, and the fuzzy reliability analysis is established based on the construction monitoring process. The monitoring results show that the roof structure is in healthy state, and the arch foot deformation meets the design requirements, which means that detailed simulation calculation provides theoretical basis for construction monitoring, and the measured data agree well with the theoretical data. Reliability Fuzzy Comprehensive Evaluation of structural monitoring adopts a layered weighting method by dividing the entire structural monitoring into several types of key monitoring indicators, corresponding analysis is carried out according to the calculation formula of the weight of various indicators to solve the reliability problem of structural monitoring. It is shown through analysis that this method can provide an effective basis for on-site safety construction, and the above conclusions can provide references for related projects in the future.

scholarly journals The Application of an Improved Fuzzy Comprehensive Evaluation in Coal Quality Rating: The Case Study of China

2022 ◽  
Vol 9 ◽  
Author(s):  
Feng Cai ◽  
Lingling Yang ◽  
Yuan Yuan ◽  
Farhad Taghizadeh-Hesary
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Utilization Efficiency ◽  
Weighting Method ◽  
Coal Quality ◽  
Carbon Neutrality ◽  
Quality Stability ◽  
Quality Rating

Coal quality rating can help reduce greenhouse gas emissions, solving the global warming problem. It becomes more important as the carbon neutrality by the mid-21st century agreement is accepted by 195 countries, including China. In this paper, an improved fuzzy comprehensive evaluation method is introduced for coal quality rating. The data used in this work are of the Hostolgoi coalfield of the Xinjiang Province of China. Six industrial analysis indicators are determined as evaluation factors by taking the coal samples of different coal seam depths in the mining area. The super-standard multiple methods and the double-weight super-standard weighting method are combined to form a comprehensive weight. The results show that most of the coal samples of this coal mine are at grades I–II, and the overall coal is with good-quality stability. The evaluation results can improve the coal utilization efficiency and provide scientific guidance for evaluating and exploiting coal resources in coal geological exploration.

scholarly journals Multi-level fuzzy comprehensive evaluation of the influence of reservoir sedimentation based on improved cloud model

2021 ◽  
Author(s):  
Mingwang Zhang ◽  
Kebin Shi
Keyword(s):  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Reservoir Sedimentation ◽  
Entropy Weight ◽  
Weighting Method ◽  
Multi Level ◽  
Functional Operation ◽  
The Impact

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.

Risk Assessment of Reservoir by Fuzzy Comprehensive Evaluation Method Based on Information Entropy

2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Information Entropy ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Entropy Weight ◽  
Weighting Method

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.

scholarly journals Fuzzy Comprehensive Evaluation on Body Parts’ Weight Coefficients towards Sitting Comfort Based on AHP to Limit Entropy Method

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Zhenhai Gao ◽  
Mingyue Li ◽  
Fei Gao ◽  
Xingyue Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Method ◽  
Body Parts ◽  
Objective Data ◽  
Weighting Method ◽  
Subjective Data ◽  
Machine System ◽  
Ontology Model ◽  
Weight Coefficients

In order to quantify the effects of different body parts on sitting comfort, an ontology model for sitting comfort in “human—machine” system was established. In light of the subjectivity and arbitrariness issue of AHP, as well as the characteristic of entropy method be vulnerable to disturbed by extremum, a new weighting method was implemented which corrects subjective data with objective data, named AHP to limit entropy method. An overall comfort formula was created containing shoulder, back, waist, buttock, and thigh. Finally, three other vehicle’s seats were tested as comparative verification, with a result showing that the weighted method was effective. And this method can provide an effective approach for evaluating sitting comfort.

Fuzzy Comprehensive Evaluation for Reconfigurable Assembly Line

2011 ◽  
Vol 108 ◽  
pp. 80-85
Author(s):  
Ming Hai Yuan ◽  
Ze Zhong Wang
Keyword(s):  
Assembly Line ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Engineering Application ◽  
Reference Value ◽  
Fuzzy Comprehensive Evaluation ◽  
New Combination ◽  
Weighting Method ◽  
Reconfigurable Assembly

On the basis of the analyzing of the criterion of the evaluation index, a comprehensive evaluation model for RAL (reconfigurable assembly line) is proposed based on the hierarchy analysis according to the characteristics of the RAL and the engineering application. The new combination weighting method is used to calculate the weights of every index, and the index is assessed by fuzzy synthetically evaluation. The subordinate degree of evaluation object relative to optimum reference value adopting least squares principle is regarded as the evaluation criteria. Finally, this method is demonstrated to be reasonable and effective by a simulation example.

scholarly journals Rational Supplier Selection Based on Two-Phase Deep Analysis considering Fuzzy QFD and Game Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Feng Li ◽  
Senhao Luo ◽  
Yi Wang ◽  
Chia-Huei Wu
Keyword(s):  
Game Theory ◽  
Evaluation System ◽  
Supplier Selection ◽  
Quality Function Deployment ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Weight ◽  
Two Phase ◽  
Weighting Method ◽  
Fuzzy Qfd

Viewing from the perspective of a traditional manufacturing enterprise, the paper proposes a fuzzy comprehensive evaluation system model, which selects the most suitable supplier or suppliers to undertake the supply tasks and to achieve the purposes of reducing procurement costs and improving the supply quality and reliability, so as to fully meet customer demands. Based on decision-makers’ preferences and suppliers’ supply capabilities, subjective and objective weight of criteria are both developed for supplier selection with the corresponding weighting method, namely, quality function deployment (QFD) and entropy weight. Specially, the two-phase fuzzy QFD method combined with the trapezoidal fuzzy number (TFN) is creatively applied to realize the complicated conversion process. Furthermore, the game theory is employed to combine the advantages of the subjective and objective weighting method, by which the comprehensive weight can be determined. A numerical example is given to demonstrate the proposed modeling process. Through programming drawing images for comparative analysis and sensitivity analysis, study image trends, and draw conclusions, the proposed model effectively alleviates the weight deviation and has higher rationality and extensibility in supplier selection.

scholarly journals Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Xichun Luo ◽  
Honghao Zhao ◽  
Yan Chen
Keyword(s):  
Neural Network ◽  
Physical Exercise ◽  
Chronic Diseases ◽  
Bp Neural Network ◽  
Comprehensive Evaluation ◽  
Search Algorithm ◽  
Evaluation Process ◽  
Fuzzy Comprehensive Evaluation ◽  
Overweight And Obesity ◽  
Weighting Method

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

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.

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