Big data evaluation model of football team cooperation based on entropy weight method

Author(s):  
Fen Gong ◽  
ShaoJun Xiang ◽  
JiaQi Chen ◽  
YuanYuan Wang
2021 ◽  
Author(s):  
Lei Guo ◽  
Xiufen ZHANG

Abstract Partial destructive disassembly (PDD) is essential for end-of-life products to improve their automatic disassembly efficiency and reduce disassembly cost. A feasibility evaluation of the PDD is the key step to evaluate whether the PDD can be implemented. However, it has not been studied previously to our knowledge. To deal with this problem, a multi-granularity feasibility evaluation method is proposed. A multi-granularity feasibility evaluation model of the PDD was constructed based on the complex product’s hierarchical structure, which not only described the evaluation indices from the product level to the component level but also presented methods and rules to quantify them. 1Thus, disassembly entropy was introduced into the target group’s coarse granularity evaluation. The feasibility of the fine-grained index of the PDD for the component layer was constructed based on the product’s failure characteristic. The fine-grained index was calculated by the fuzzy trigonometric function and its weighting was obtained based on the structure entropy weight method. Thus, the results of the evaluation were used as feedback to guide the PDD process. Finally, a Passat engine case study illustrates the feasibility and effectiveness of the method.


2020 ◽  
Vol 165 ◽  
pp. 06050
Author(s):  
Weixia Wang ◽  
He Jun

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


2018 ◽  
Vol 11 (3) ◽  
pp. 166
Author(s):  
Qifan Yang ◽  
Xiaoyan Cao ◽  
Bingqian Liu ◽  
Yuanbiao Zhang

Nowadays, climate change has become an increasingly important factor that influences the national development. In this paper, we propose the three-dimensional model based on dynamic weighting to measure national fragility, while taking into account a series of climatic factors like temperature, rainfall et al. Our model includes 20 indicators which can be divided into economic factors, social factors and environmental factors. We first divided all indicators into cost-type, benefit-type and moderate indicators, and normalized them based on different types of indicators. Then, combining modified entropy weight method and AHP, the weights of 20 indicators and three factors in the evaluation model are defined. In the three-dimensional evaluation model, we use the length of the evaluation curve to evaluate the national fragility and measure the balance of the three factors with the angle between the curve and the diagonal of the model. Moreover, since countries at different stages of development have different development focuses, we have developed an "S-type" function to dynamically measure the different emphasis on the degree of national fragility and the balance of the three evaluation factors. Then, we calculate the comprehensive fragility index by giving different weights for the degree of national fragility and the balance of the three factors. Finally, we use two different countries which are China and Sudan to verify the rationality of the model. The results show that our model can reasonably measure the fragility of countries in different development levels, which also proves its adaptability and practicability.


2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu

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.


2012 ◽  
Vol 253-255 ◽  
pp. 1188-1194
Author(s):  
Shen E Xi

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.


2019 ◽  
Vol 256 ◽  
pp. 02002
Author(s):  
Tao Huang ◽  
Jiaqi Xiang ◽  
Hongmin Yu

The influencing factors which about equipment maintenance support abilities are analysed and the index system that is used to evaluate equipment support abilities are constructed in the paper. Then, the weight of the index is determined by the structure entropy weight method which is a combination of qualitative and quantitative. The comprehensive evaluation model of equipment maintenance support abilities are constructed by combining gray clustering evaluation theory. Finally, the feasibility and validity of the model are verified by an example.


2010 ◽  
Vol 33 ◽  
pp. 394-398
Author(s):  
Wei Wang ◽  
Jun Feng Cheng

This paper establishes competitiveness evaluation model of the service outsourcing city from six aspects and 36 indicators. Then take 20 service outsourcing demonstration cities as research objects, and use entropy weight method and the standard deviation method to calculate out comprehensive competitiveness scores of service outsourcing city. At last we analyze the present situation of the outsourcing model city and puts forward development proposals.


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