Research on Standardization Evaluation System of Container Port Safety Production Based on Entropy Weight Method

2019 ◽  
Author(s):  
Ning Chen ◽  
Shanshan Gao
Keyword(s):  
Evaluation System ◽  
Container Port ◽  
Entropy Weight ◽  
Safety Production ◽  
Entropy Weight Method ◽  
Weight Method

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

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

scholarly journals Research on the establishment and method of comprehensive benefit evaluation system for smart energy systems

2020 ◽  
Vol 213 ◽  
pp. 02036
Author(s):  
Nan Xu ◽  
Zihao Zhao ◽  
Bo Zhou ◽  
Ningning Shi ◽  
Yongli Wang ◽  
...  
Keyword(s):  
Evaluation System ◽  
Energy Systems ◽  
Energy System ◽  
Energy Regulation ◽  
Entropy Weight ◽  
Benefit Evaluation ◽  
Smart Energy Systems ◽  
Comprehensive Benefit ◽  
Entropy Weight Method ◽  
Weight Method

The smart energy system is the new direction of the current energy development. It plays a vital role in the low-carbon development of my country’s energy industry and in promoting the transformation and upgrading of the energy sector. For the construction and long-term development of smart energy systems, this paper constructs a comprehensive benefit evaluation index system for smart energy systems that can cover all aspects based on the economic, environmental protection, and reliability of energy regulation and other target benefits, and proposes a system based on AHP -Improved evaluation method of entropy weight method, aiming at the hierarchical structure of smart energy evaluation system, adopts analytic hierarchy process and improved entropy weight method to combine subjective weight and objective weight, and scientifically, reasonably and objectively the construction level of smart energy system evaluation of.

scholarly journals A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China

2019 ◽  
Vol 11 (19) ◽  
pp. 5313
Author(s):  
Sipan Li ◽  
Qunxi Gong ◽  
Shaolei Yang
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Dissipative Structure ◽  
Agricultural Development ◽  
Structure Theory ◽  
Entropy Weight ◽  
Development System ◽  
The Past ◽  
Entropy Weight Method ◽  
Weight Method

As a large agricultural nation, China attaches great importance to agricultural development, as sustainable, regional agricultural development affects the sustainable development of China. Taking Chengdu, Sichuan Province as an example, this paper selected indicators and data from the past 15 years from the Chengdu Statistical Yearbook and applied the dissipative structure theory to establish an evaluation system for sustainable, regional agricultural development based on five main factors including economy, society, environment, education, and population. The entropy weight method was used to empower each indicator, and the changes in Chengdu’s sustainable agricultural development in the past 15 years were calculated. It was found that Chengdu’s sustainable agricultural development has been annually increasing, among which, economic and education subsystems had the greatest support for sustainable agricultural development. From 2003 to 2017, the entropy change of the total agricultural sustainable development system in Chengdu was negative, and the total entropy of the system gradually decreased. The sustainable agricultural development system in Chengdu has been developing towards a more orderly dynamic equilibrium state.

scholarly journals Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244238
Author(s):  
Xiaoli Jiang ◽  
Lingyu Wang ◽  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Anxin Xu ◽  
...  
Keyword(s):  
Rural Areas ◽  
Evaluation System ◽  
Entropy Weight ◽  
Fujian Province ◽  
Spatially Correlated ◽  
Average Value ◽  
The Status ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Slight Downward Trend

With the outbreak of COVID-19, the importance of rural areas has been gradually highlighted, and the importance of rural ecological livability has been gradually recognized. A growing body of literature recognizes the importance of building a rural ecological livability (REL) system. It is urgent that we clarify the status quo and spatial-temporal differences in and distributional characteristics of rural ecological livability and that we carry out targeted and differentiated construction to promote rural ecological livability in post-epidemic China. This study proposes a conceptual model that incorporates various economic, social and environmental factors and develops a comprehensive multifactor (production-living-ecology) evaluation system. Using Fujian Province as an example, the entropy weight method is used to measure the REL level of 55 counties and cities, which are comprehensively evaluated from 2015 to 2019. Moran's I and Getis-Ord Gi* are used to analyze the spatial and distributional characteristics of the REL level in Fujian. The results show that the level of REL in Fujian Province has been relatively flat over the past five years, with a slight downward trend. The overall value of the rural ecological livability index in 2015 was 0.345, and its overall value in 2019 was 0.334, with an average value of 0.343. The REL of Fujian Province is spatially correlated, with high levels of livability in the southeast and low levels in the northeast. The autocorrelation in the level of ecological livability in Fujian's counties and cities continues to increase.

scholarly journals Research on safety evaluation of bolt support based on analytic hierarchy process-entropy weight method

2020 ◽  
Vol 213 ◽  
pp. 03019
Author(s):  
Junqing Wang ◽  
Qinggui Cao ◽  
Xin Mi ◽  
Dan Li
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Shanxi Province ◽  
Entropy Weight ◽  
Application Program ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Bolt Support

To evaluate the safety performance of bolt support scientifically, the factors affecting bolt support are systematically analyzed, the comprehensive evaluation index system is established from four aspects: support parameters, quality of bolt and fittings, construction management and monitoring level, and the safety evaluation model of bolt support is constructed; the AHP and entropy weight method are combined to determine the weight of each index, and the safety evaluation system of bolt support based on AHPentropy weight method is established and its application program is developed. The safety evaluation method and application program proposed in this paper are applied to the safety evaluation of bolt support in a coal mine in Shanxi Province, and the results are in agreement with the actual situation. This article studies the correlation.

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