Suitability evaluation system for the shallow geothermal energy implementation in region by Entropy Weight Method and TOPSIS method

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

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Application of Combination Evaluation for Academic Title Evaluation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.50-51.756 ◽

2011 ◽

Vol 50-51 ◽

pp. 756-760

Author(s):

Bao Feng Li ◽

Jing Guo Qu ◽

Pu Yu Hao

Keyword(s):

Associate Professor ◽

Topsis Method ◽

Entropy Weight ◽

Base Points ◽

Subjective Weight ◽

Evaluation Models ◽

Entropy Weight Method ◽

Weight Method ◽

Double Base

In this paper, using the relevant data of 34 teaching staffs who participate in the academic title evaluation of associate professor in 2010, firstly it introduces the entropy weight method, Topsis method with subjective weight, Topsis method with objective weight and double base points method with subjective weight to evaluate and sort the performance of 34 teaching staffs. Secondly, two combination evaluation models are constructed to do the same work and the conclusions are more science and rational.

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Health Evaluation System of National Higher Education Based on Improved Entropy Weight Method Combined with GE Matrix

10.1145/3487075.3487096 ◽

2021 ◽

Author(s):

Bo Liu ◽

Zheng Li

Keyword(s):

Higher Education ◽

Evaluation System ◽

Health Evaluation ◽

Entropy Weight ◽

Ge Matrix ◽

Entropy Weight Method ◽

Weight Method

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

Sustainability ◽

10.3390/su11143793 ◽

2019 ◽

Vol 11 (14) ◽

pp. 3793 ◽

Cited By ~ 3

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.

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

E3S Web of Conferences ◽

10.1051/e3sconf/202021302036 ◽

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.

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

Sustainability ◽

10.3390/su11195313 ◽

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.

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