scholarly journals Research on Comprehensive Evaluation of Military Aircrafts’ Overhaul Performance Based on Entropy Weight and Cloud Model

2021 ◽  
Vol 257 ◽  
pp. 02065
Author(s):  
Zhang Lei ◽  
Jing Yachao
Keyword(s):  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Reliability And Validity ◽  
Evaluation Index System ◽  
Military Aircraft ◽  
Entropy Weight ◽  
Complex Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Performance Results

Due to the complex evaluation of the current military aircrafts’ overhaul performance with many influencing factors, an evaluation index system of military aircrafts’ overhaul performance was constructed. It was proposed that the entropy weight method (EWM) was used to calculate the performance results, and then the performance of the reliability and validity of the results was verified based on the cloud model. By collecting the performance index data of a certain type of military aircraft overhaul from 2015 to 2018, the value of the overhaul performance of this type of military aircraft was calculated, and the feasibility and effectiveness of the method were verified.

scholarly journals Assessment of the Ecological Niche of Photovoltaic Agriculture in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2268 ◽  
Author(s):  
Wang ◽  
Wang ◽  
Chen
Keyword(s):  
Ecological Niche ◽  
Cloud Model ◽  
Development Trend ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Interval Numbers ◽  
Good State ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Development Trend

To evaluate the ecological niche of photovoltaic agriculture in China, an evaluation index system was constructed. Based on the presentation form of interval numbers, we used the interval entropy weight method and interval cloud model to measure the niche state value and niche role value of photovoltaic agriculture. In this way, we determined the development trend of the ecological niche of photovoltaic agriculture. The results show that Chinese photovoltaic agriculture is in a good state and plays a good, but weak, role. The ecological niche of China’s photovoltaic agriculture will undergo a four-stage evolution process: positioning, integration, leap, and symbiosis. China has completed the positioning stage and entered the integration stage. Hence, it is important to constantly improve the level of industrial integration technology and to form a new photovoltaic agriculture recycling economic ecosystem.

Fuzzy comprehensive evaluation of maritime boundary delimitation schemes based on AHP-entropy weight method

2021 ◽  
pp. 1-13
Author(s):  
Degang Wang ◽  
Dongling Li ◽  
Li Sun ◽  
Zhenke Zhang ◽  
Jie Cheng ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Angle Bisector ◽  
Maritime Boundary ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Maritime Boundary Delimitation

There are 11 provinces along the coastal regions in the Chinese Mainland and the scientific division of marine management boundaries among different provinces within the extents of the territorial sea is of important significance in promoting the sustainable development of the marine economy in China. A fuzzy evaluation index system that includes 14 indices of three subsets was established based on a case study of maritime boundary delimitation between Jiangsu and Shandong Provinces to evaluate the advantages and disadvantages of maritime boundary delimitation and determine the optimal scheme and offset shortages in the current evaluation index system and evaluation methods. Combined weights of indices were calculated through the analytic hierarchy process (AHP) and entropy weight method. The comprehensive evaluation indices were used to evaluate three maritime boundary delimitation schemes, namely, historical boundary delimitation scheme, angle bisector delimitation scheme, and equidistance delimitation scheme. Results show that the equidistance delimitation scheme is relatively superior to the two other schemes. The evaluation index is 0.504761 and the evaluation grade is “good”. The angle bisector delimitation scheme is the second optimal. The evaluation index is 0.361641 and the grade is “moderate”. The historical boundary delimitation scheme is the poorest. The evaluation index is 0.135345 and the grade is “poor”. In the late optimization of maritime boundary delimitation schemes, more consideration should be given to people’s livelihood and protection of national maritime rights and interests. The fuzzy comprehensive evaluation method based on AHP-entropy weight can not only provide a quantitative top-down sequence of schemes in terms of quality and solve estimation problems in maritime boundary delimitation scheme, but also assist decision-makers to select the best scheme. Therefore, it possesses great application values.

Research on Task Sequencing of Mixed Model Assembly Workshop Based on Improved AHP

2013 ◽  
Vol 813 ◽  
pp. 201-204
Author(s):  
Zhe Wang ◽  
Yan Fang Song ◽  
Geng Yan Cui
Keyword(s):  
Mixed Model ◽  
Comprehensive Evaluation ◽  
Influence Factors ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Task Sequencing ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Mixed Model Assembly

The influence factors of task sequencing in mixed model assembly workshop is analyzed, and the production reasonable degree comprehensive evaluation index system is established with research of the evaluation index quantifying method\. The objective and subjective influence factors of task sequencing are analyzed, and the shortage of using AHP to sequence tasks alone has been pointed out. The improvement of AHP on the basis of entropy weight method has been researched, and task sequencing method of mixed model assembly workshop based on improved AHP has been proposed. The method has been verified in aero-engine assembly workshop, and the results show that it is feasible.

Research on Degree Evaluation of Rural Waste Recycling of Heilongjiang Province Based on the Integrated Evaluation Method

2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao
Keyword(s):  
Index System ◽  
Agricultural Waste ◽  
Waste Recycling ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Heilongjiang Province ◽  
Entropy Weight ◽  
Development Direction ◽  
Entropy Weight Method ◽  
Weight Method

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.

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.

Coach Evaluation Method Based on AHP

2014 ◽  
Vol 551 ◽  
pp. 722-726
Author(s):  
Xin Cao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Time Line ◽  
The Hierarchical Structure ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Time Periods ◽  
Hierarchy Process

In order to evaluate coaches, this paper established the model of comprehensive evaluation based on analytic hierarchy process (AHP). Firstly, I establish the hierarchical structure of the system; Secondly, for researching the influence of time line horizon in analysis, I divided coaches into several groups by their career time and calculated the weights of indicators of each group using entropy weight method; Finally, calculate the weight between the criteria layer and objective layer. Female coach data is difficult to find, so I select 100 college basketball male coach data. Put the data into model and get a score. The score showed the final result which can give us a sort of reasonable coach list. This model can reduce the influence of different time periods for evaluation of the coach.

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