Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method

Qin, Yan; Dong, Hua; Zhang, Meijuan

doi:10.3390/su13147910

Cited by 12 publications

(9 citation statements)

References 37 publications

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“…The integrated evaluation vector B was obtained by multiplying the weight coefficient A W i with the cloud correlation matrix K, and the formula is shown in (17).…”

Section: Determination Of the Security Risk Levelmentioning

confidence: 99%

“…Subjective evaluation methods include Delphi method, hierarchical analysis, etc. ; the objective ones include gray system evaluation, matter-element extension method [16,17], cloud model, artificial neural network, etc. In complex building construction safety risk assessment, analysis and decisionmaking are affected by various factors, making the information often present a certain degree of ambiguity and randomness [18,19].…”

Section: Introductionmentioning

confidence: 99%

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Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Sang¹,

Han²,

Liu³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloudbased coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter-element basic element, and calculate the cloud correlation of the risk assessment metrics through the correlation algorithm of the cloud model to build the computational model. Meanwhile, the improved hierarchical analysis method based on the cloud model is used to determine the weight of the index. The comprehensive evaluation scores of the evaluation event are then obtained through the weighted average method, and the safety risk level is determined accordingly. Through empirical analysis, (1) the improved hierarchical analysis method based on the cloud model can incorporate the data of multiple decisionmakers into the calculation formula to determine the weights, which makes the assessment results more credible; (2) the evaluation results of the cloud-based matter-element coupled model method are basically consistent with those of the other two commonly used methods, and the confidence factor is less than 0.05, indicating that the cloudbased physical element coupled model method is reasonable and practical for towering structure overturning;(3) the cloud-based coupled element model method, which confirms the reliability of risk level by performing Spearman correlation on comprehensive assessment scores, can provide more comprehensive information of instances compared with other methods, and more comprehensively reflects the fuzzy uncertainty relationship between assessment indexes, which makes the assessment results more realistic, scientific and reliable.

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“…The integrated evaluation vector B was obtained by multiplying the weight coefficient A W i with the cloud correlation matrix K, and the formula is shown in (17).…”

Section: Determination Of the Security Risk Levelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Sang¹,

Han²,

Liu³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

show abstract

“…There is a defect in TOPSIS to evaluate, which can only sort the level of each scheme, but cannot judge the level of each scheme. Matter-element extension evaluation method is a method for quantitative evaluation of things based on matter-element theory, extension set and correlation degree [25]. Its main idea is to divide the data interval of the evaluation object into several grades, and then determine the corresponding level of each data interval, and then substitute the data value of each scheme into the data interval of each grade to determine its correlation degree.…”

Section: Improved Topsismentioning

confidence: 99%

Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

Wu¹,

Zou²,

Yao³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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The evaluation of the implementation effect of the power substation project can find out the problems of the project more comprehensively, which has important practical significance for the further development of the power substation project. To ensure accuracy and real-time evaluation, this paper proposes a novel hybrid intelligent evaluation and prediction model based on improved TOPSIS and Long Short-Term Memory (LSTM) optimized by a Sperm Whale Algorithm (SWA). Firstly, under the background of considering the development of new energy, the influencing factors of power substation project implementation effect are analyzed from three aspects of technology, economy and society. Moreover, an evaluation model based on improved TOPSIS is constructed. Then, an intelligent prediction model based on SWA optimized LSTM is designed. Finally, the scientificity and accuracy of the proposed model are verified by empirical analysis, and the important factors affecting the implementation effect of power substation projects are pointed out.

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“…[26] devised the matter-element method with mathematics and experimental disciplines, which can consider the independence and contradiction of technical indicators, and the advantages and disadvantages of various indicators in various schemes. So, this method is used for truss structure performance [27], health assessment [28] traffic service evaluation [29], etc. As for these advantages, we proposed a new evaluation model by integrating the two methods, which can be better applied to the engineering field.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Shield Tunnel Construction in Coastal Areas

Huang,

2024

Pol. J. Environ. Stud.

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The coastal areas are the most economically developed, and they need to build many infrastructures such as airports, ports, and subways. However, the complex geological conditions in the coastal areas pose risk issues to the construction. In response to the characteristics of the high risk of subway shield tunneling, we proposed a new method to evaluate the safety of subway shield tunneling by using the entropy weight method and the matter-element theory. In addition, we built a safety evaluation index system with 52 evaluation indexes, including workers, machinery, materials, technology, environment, etc. Accordingly, using the entropy value method, we calculated the weight of each index and built the classical domain with the matter-element theory. Then, combining the joint domain with the evaluation of the main factors, we calculated the risk correlation degree. Moreover, we established the safety assessment model. Taking the coastal tunnel between the Hujing Station and Wanshou Station of Fuzhou metro line 6 as an example, we validated the evaluation model and assessed the risk of the coastal tunnel. The result demonstrates that the total construction safety risk level is low. But the environmental factors are very crucial; the highest is the embankment collapse C523, and its proportion is 8.14%. It is necessary to measure deformation and reduce the environmental risks of construction. The case study can provide a very valid reference for some similar coastal projects.

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Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method

Cited by 12 publications

References 37 publications

Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy

Risk Assessment of Shield Tunnel Construction in Coastal Areas

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