scholarly journals Research on Measurement and Application of China’s Regional Logistics Development Level under Low Carbon Environment

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2273
Author(s):  
Zixue Guo ◽  
Yu Tian ◽  
Xinmei Guo ◽  
Zefang He
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Three Dimensions ◽  
Numerical Characteristic ◽  
Low Carbon ◽  
Entropy Weight ◽  
Logistics Industry ◽  
Evaluation Indexes ◽  
Regional Logistics ◽  
Entropy Weight Method

To solve the problem of fuzziness and randomness in regional logistics decarbonization evaluation and accurately assess regional logistics decarbonization development, an evaluation model of regional logistics decarbonization development is established. First, the evaluation index of regional logistics decarbonization development is constructed from three dimensions: low-carbon logistics environment support, low-carbon logistics strength and low-carbon logistics potential. Second, the evaluation indexes are used as cloud model variables, and the cloud numerical characteristic values and cloud affiliation degrees are determined according to the cloud model theory. The entropy weight method is used to determine the index weights, and the comprehensive determination degree of the research object affiliated to the logistics decarbonization level is calculated comprehensively. Finally, Beijing-Tianjin-Hebei region is used as an example for empirical evidence, analyzing the development logistics decarbonization and its and temporal variability in Beijing, Tianjin and Hebei provinces and cities. The results of the study show that the development logistics decarbonization in Beijing, Tianjin and Hebei Province has been improved to different degrees during 2013–2019, but the development is uneven. Developing to 2019, the three provinces and cities of Beijing, Tianjin and Hebei still have significant differences in terms of economic environment, logistics industry scale, logistics industry inputs and outputs, and technical support.

Human-Water Relationship Evaluation Based on Cloud Model for Arid Area in Northwest China

2014 ◽  
Vol 1065-1069 ◽  
pp. 2942-2947
Author(s):  
Mei Wang ◽  
De Shan Tang ◽  
Wei Shan Hu ◽  
Yi Fan Bai
Keyword(s):  
Evaluation Method ◽  
Cloud Model ◽  
Water System ◽  
Northwest China ◽  
Arid Area ◽  
Three Dimensions ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Entropy Weight Method

Human-water relationship evaluation method based on cloud model is put forward to cope with the vagueness in evaluation language. With the intensive study of the specialty in human-water relationship in Northwest China arid area, three dimensions related to human-water relationship, natural water cycle’s health degree (NWHD), Social water cycle’s rationality degree (SWRD) and human-to-water fitness degree (HWFD) are selected to describe the harmony degree between water system and human system. The limit of evaluation index subordinate to each dimension corresponding to every harmony level is determined, and thus we can generate a comprehensive cloud model with evaluation index harmony level. When numeric values substitute for basic evaluation indexes, combined with the weights calculated from entropy weight method and AHP method, we get the certainty distributions of dimension indexes and integration objects among each harmony level. Case shows that human-water relationship evaluation method based on cloud model can effectively solve the vagueness and uncertainty in evaluation language. The evaluation results reflect the harmony degree in Northwest China arid area precisely.

scholarly journals Application of TOPSIS Method Based on Entropy Weight -Delphi in the Evaluation of Teachers’ “double-qualified” Ability

2020 ◽  
Vol 165 ◽  
pp. 06050
Author(s):  
Weixia Wang ◽  
He Jun
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Topsis Method ◽  
Entropy Weight ◽  
Chinese Library Classification ◽  
Evaluation Indexes ◽  
Energy Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

In order to improve the rationality and fairness of Teachers’ “Double-qualified” Ability, the article establishes an evaluation model based on 14 evaluation indexes of teachers’ “double-qualified” ability. it adopts Delphi - entropy weight method to weight the evaluation index, and then combines TOPSIS method to evaluate the evaluation object. In the evaluation of TOPSIS method, the traditional TOPSIS weight method was improved, and the entropy weight-delphi method was used to determine the index weight, which was a combination of subjective and objective, making the evaluation system more objective, scientific and reasonable.It not only avoids the subjectivity of decision makers and limitations, but also eliminates the phenomenon of indexes in common impact assessment results and finally applies it to a university teacher “Double division and triple energy” evaluation system, to provide theoretical basis and feasibility analysis for the “double type” teachers team construction. Chinese library classification number: O224 Document identification code: A

Safety-state evaluation model based on structural entropy weight–matter element extension method for ancient timber architecture

2019 ◽  
Vol 23 (6) ◽  
pp. 1087-1097
Author(s):  
Junhong Huan ◽  
Donghui Ma ◽  
Wei Wang ◽  
Xiaodong Guo ◽  
Ziyi Wang ◽  
...  
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Assessment Model ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
State Evaluation ◽  
Correlation Degree ◽  
Structural Entropy ◽  
Entropy Weight Method

This article investigates various factors that may influence the safety state of ancient timber architecture, to improve the accuracy of safety-state evaluation results for ancient timber architecture. During the process, a safety-state evaluation system for ancient timber architecture is developed. This safety-state evaluation system includes five parts: foundation, plinth, timber frame, enclosing wall, and roof. Based on the system, a safety-assessment model for ancient timber architecture based on structural entropy weight–matter element extension model is also introduced. In this model, the structural entropy weight method is applied to calculating the weight of each index and takes the influence of subjective and objective weights into consideration comprehensively. This model has the following three detailed steps. First, correlation function and correlation degree of extension set are used to quantify the relationship between the evaluation indexes of the components, joints, and evaluation interval of each safety state. Second, the safety states of units are determined according to the distribution of safety state of the components. Third, the safety degree of the entire structure is determined via the minimum safety state of units. This study also uses the Niaoqiangsanchu in Forbidden City as a study case and found that the evaluation results are consistent with the results of the practical damage survey and the actual situation of the architecture. The model thus minimizes the uncertainty of qualitative and quantitative factors in the process of evaluating the safety degree of ancient timber architecture, to finally obtain the objective evaluation results.

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.

scholarly journals Evaluation Model and Empirical Research on the Green Innovation Capability of Manufacturing Enterprises from the Perspective of Ecological Niche

2021 ◽  
Vol 13 (21) ◽  
pp. 11710
Author(s):  
Ying Sun ◽  
Jianzhong Xu
Keyword(s):  
Evaluation System ◽  
Cloud Model ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Variation Method ◽  
Innovation Capability ◽  
Green Innovation ◽  
Entropy Weight ◽  
Manufacturing Enterprises

Green innovation is an important driving force in promoting the sustainable development of manufacturing enterprises and improving market competitiveness. This study selects indicators from the two aspects of ecostate and ecorole in order to reflect green research and development, cleaner production, and green marketing based on niche theory. We construct an evaluation index system to objectively and accurately assess the green innovation capability of manufacturing enterprises. Subsequently, based on the principle of relative entropy, the analytic hierarchy process, entropy weight method, and coefficient of variation method are fused to determine the combined weight of the indicators, and a multi-level, comprehensive evaluation model is constructed using cloud model tools. Finally, through an empirical analysis of the evaluation of the green innovation capability of five manufacturing enterprises, the feasibility of the model and the stability of the evaluation results are verified through three dimensions: numerical experiment, sensitivity analysis, and method comparison. The results show that the evaluation system constructed in this study is superior. It provides the basis and decision-making reference for enterprises to carry out market positioning and formulate innovation and development strategies.

scholarly journals Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

2021 ◽  
Vol 11 (11) ◽  
pp. 5208
Author(s):  
Jianpo Liu ◽  
Hongxu Shi ◽  
Ren Wang ◽  
Yingtao Si ◽  
Dengcheng Wei ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Cloud Model ◽  
Quantitative Risk Assessment ◽  
Geological Condition ◽  
Deep Tunnel ◽  
Entropy Weight ◽  
Copper Mine ◽  
Evaluation Indexes ◽  
Metal Mines

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.

Fuzzy Matter-Element Evaluation Method for Reliability Analysis of an Existing Highway Tunnel

2010 ◽  
Vol 163-167 ◽  
pp. 3110-3113
Author(s):  
Zheng Xi Gong ◽  
Jian Guo Yang
Keyword(s):  
Reliability Analysis ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Concrete Strength ◽  
Concrete Lining ◽  
Tunnel Structure ◽  
Entropy Weight ◽  
Element Analysis ◽  
Evaluation Indexes ◽  
Highway Tunnel

Reliability analysis is the premise for reinforcement and maintenance of an existing highway tunnel. In order to understand the structure reliability of an existing highway tunnel, a fuzzy mat-ter-element evaluation method was put forward based on entropy weight according to the fuzzy matter-element analysis method. Firstly, levels of inspection results were regarded as objects of matter-element and composite fuzzy matter-elements were constructed considering such factors and their evaluation indexes as cracks of concrete lining, lining thickness, concrete strength, cavities behind the lining and water leakage conditions. Secondly, reliability evaluation results of the existing tunnel structure were obtained by calculating the relevancy. Lastly, fuzzy matter-element evaluation model was effectively used to evaluate reliability of one highway tunnel structure.

scholarly journals Social Force Model-Based Safety Evaluation of Intersections in Arterials Considering the Pedestrian Yield Rule

2021 ◽  
Vol 18 (23) ◽  
pp. 12461
Author(s):  
Jiao Yao ◽  
Yuhang Li ◽  
Jiaping He
Keyword(s):  
Evaluation Model ◽  
Safety Evaluation ◽  
Force Model ◽  
Social Force ◽  
Trajectory Data ◽  
Entropy Weight ◽  
Social Force Model ◽  
Entropy Weight Method ◽  
Safety Models ◽  
Pedestrian Crossing

To enhance the safety of pedestrians crossing the street, a series of new regulations regarding pedestrian yield has been proposed and widely implemented across cities. In this study, we first made some improvements to the social force model, in which pedestrian crossing at the intersection, drivers’ psychology of giving way, vehicle yield to pedestrians, vehicle yield in different directions, the influence of pedestrians crossing boundaries, and signal lamp groups on pedestrian behavior were considered. Furthermore, pedestrian crossing and vehicle yield safety models were established, based on which the comprehensive safety evaluation model of intersections in arterials was established, in which two indices—(1) the safety degree of pedestrian crossings and (2) vehicle acceleration interference—were combined with the entropy weight method. Finally, four types of intersections in arterials were studied using a simulation: the intersections between different levels of arterials, and intersections with one-time and two-times pedestrian crossings. Moreover, safety evaluation and analysis of those intersections, considering the rule of pedestrian yield, were conducted combined with the trajectory data from the VISSIM simulation. The relevant results showed that for pedestrians crossing the street, the pedestrian safety of two-time crossing is significantly higher than that of one-time crossing, and compared with the arterial, the pedestrian crossing distance of the sub-arterial is shorter, and the pedestrian perception is safer. Moreover, due to the herd psychology effect, the increase in pedestrian flow volume improves the safety perception of pedestrians at the intersection.

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