scholarly journals Quantitative Evaluation and Prediction Analysis of the Healthy and Sustainable Development of China’s Sports Industry

2020 ◽  
Vol 12 (6) ◽  
pp. 2184
Author(s):  
Lin Zhuo ◽  
Xiangfeng Guan ◽  
Songzhong Ye
Keyword(s):  
Future Trend ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Health Evaluation ◽  
Growth Trend ◽  
Weighting Method ◽  
Potential Health ◽  
Sports Industry ◽  
Healthy State ◽  
Actual Health

In this paper, to explore the current situation and future trend of the healthy development of China’s sports industry, the health evaluation index system of the sports industry was established by deconstructing the health dimension of the sports industry. The health evaluation model of the sports industry was constructed by using the entropy method and the multi-objective linear weighting method. The model was used to empirically analyze the characteristics and laws of the health of China’s sports industry from 2008 to 2017 and predict the health status of China’s sports industry in the next 10 years with the combination with the GM (1.1) model. The results show that the potential health degree of China’s sports industry exhibits a fluctuating growth trend, the actual health degree of the sports industry, and the health degree of the supporting environment in the sports industry show a steady growth trend on the whole. In the next 10 years, the health degree of China’s sports industry will maintain a healthy state in which the actual health degree and potential health degree of the sports industry will enter a healthy state in 2021 and 2024, respectively. In contrast, the health degree of the supporting environment in the sports industry is always in a very unhealthy state.

Data Processing in Project Supply Chain Vendor Selection Based on Improved Entropy Weight - Grey Correlation - TOPSIS

2014 ◽  
Vol 1046 ◽  
pp. 545-549 ◽  
Author(s):  
Qiu Qin Lu ◽  
Qiao Zhao
Keyword(s):  
Supply Chain ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Ideal Solution ◽  
Entropy Weight ◽  
Weighting Method ◽  
Grey Correlation ◽  
Related Data ◽  
Relative Closeness ◽  
Index Weight

On the basis of the establishment of evaluation index system, an improved entropy weight – grey correlation – TOPSIS model is put forward to select project supply chain vendor, and process the related data. The each index weight is obtained from subjective weighting method and objective entropy method. The positive and negative distance between each evaluation object and ideal solution is calculated, and the grey correlation grade between each evaluation object and ideal solution is obtained. Then the relative closeness of each evaluation object can be gained that we can select the best vendor according to it.

scholarly journals Aircraft Combat Survivability Calculation Based on Combination Weighting and Multiattribute Intelligent Grey Target Decision Model

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Lintong Jia ◽  
Zhongxiang Tong ◽  
Chaozhe Wang ◽  
Shenbo Li
Keyword(s):  
Decision Model ◽  
Engineering Application ◽  
Vulnerability Index ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Practical Case ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Integrated Method ◽  
Rational Calculation

Aircraft combat survivability is defined as the capability of an aircraft to avoid or withstand a man-made hostile environment, which has been increasingly important. In order to give a rational calculation of aircraft combat survivability, an integrated method based on combination weighting and multiattribute intelligent grey target decision model is proposed. Firstly, an evaluation index system containing susceptibility index and vulnerability index as well as their subindexes is established. Then a multiattribute intelligent grey target decision model is introduced. A combination weighting method is brought up based on a modified AHP (analytic hierarchy process) method and the entropy method, offering a rational weight for various indexes. Finally, utilize the multiattribute intelligent grey target decision model to assess the aircraft combat survivability of aircraft, verified by a practical case of five aircraft. The results show that the proposed method is effective and has a great value in engineering application, which will provide useful references for other projects’ evaluation.

A new method for ranking the usefulness of negative online reviews based on combined weighting method and improved TOPSIS

2022 ◽  
pp. 1-18
Author(s):  
Luting Yang ◽  
Yan Li
Keyword(s):  
Online Reviews ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Fresh Food ◽  
Proposed Model ◽  
Text Feature ◽  
Improved Model ◽  
Hierarchy Process

Online shopping has gradually become an important way of consumption, and consumers are paying more and more attention to negative reviews. In order to avoid the massive amount of negative review information leading to loss of useful information, this paper proposes a method for evaluating the usefulness of negative online reviews. Firstly, the method constructs an evaluation index system for the usefulness of negative online reviews from three aspects: the form feature, text feature, and reviewer feature of negative reviews, and uses a combination weighting method based on fuzzy analytic hierarchy process (FAHP) and entropy method to determine the weight of each index. Secondly, the usefulness ranking results of negative online reviews are obtained through the improved TOPSIS method based on the combined weighting method. Finally, the empirical analysis of the proposed model is carried out by crawling the negative online reviews of JD.com Fresh Food platform, and the improved model is compared with the traditional TOPSIS model, which proves the feasibility and effectiveness of the model.

scholarly journals Evaluation Method for Green Ecological Airports in China Based on Combination Weighting

2018 ◽  
Vol 30 (4) ◽  
pp. 419-428
Author(s):  
Danwen Bao ◽  
Xiaoling Zhang ◽  
Jiayu Gu
Keyword(s):  
Evaluation Method ◽  
Rank Correlation ◽  
Resource Conservation ◽  
Evaluation Index System ◽  
Weighting Method ◽  
Environmental Friendliness ◽  
International Airport ◽  
Spearman’S Rank Correlation ◽  
Spearman’S Rank Correlation Coefficient ◽  
The Status

To scientifically and accurately evaluate the status of the development of green airports in China, evaluation methods of green, ecological airports are established in this paper. To address the shortcomings in subjective and objective weighting methods, we propose a combination weighting method based on Spearman’s rank correlation coefficient and evaluation grades based on interval approximation. At the same time, by taking into account resource conservation, environmental friendliness, operation efficiency, and people-oriented service, we propose an evaluation index system and an interval number for each index. Lastly, the theory is applied to five large airports in different regions of China. Analysis of the evaluation results shows that Shanghai Pudong International Airport (PVG) and Guangzhou Baiyun International Airport (CAN) have the highest scores for the resource conservation and environmental friendliness indexes, thus indicating that the development of a green ecological airport is closely related to its passenger transportation scale and economic strength. All considered airports showed the need for upgrading public  service facilities and constructing intelligent equipment. The method proposed in this paper is reasonable  and reliable; therefore, it can provide guidance for the evaluation and construction of green, ecological  airports.

scholarly journals Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

2021 ◽  
Vol 13 (18) ◽  
pp. 10475
Author(s):  
Yuwei He ◽  
Hui Zhang
Keyword(s):  
Regional Differences ◽  
Comprehensive Evaluation ◽  
Temporal Distribution ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Theil Index ◽  
Eastern Region ◽  
Development Mode ◽  
Policy And Strategy

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

scholarly journals Evaluating the Investment Climate for China’s Cross-Border E-Commerce: The Application of Back Propagation Neural Network

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 526
Author(s):  
Yi Lei ◽  
Xiaodong Qiu
Keyword(s):  
Neural Network ◽  
Index System ◽  
Evaluation System ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Investment Climate ◽  
Cross Border

China’s cross-border e-commerce will usher in a new golden age of development. Based on seven countries which include the Russian Federation, Mongolia, Ukraine, Kazakhstan, Tajikistan, Kyrgyzstan and Belarus along the “Belt and Road”, an evaluation system for cross-border e-commerce investment climate indicators is established in this study. This research applied the entropy method twice to evaluate the investment climate of seven countries based on 5 years panel data comprehensively and these countries are then classified into politics-oriented and industry-oriented countries, and then the weight of indicators for each category is analyzed. In addition, cross-border e-commerce investors are proposed to prioritize industry-oriented countries. Back propagation neural network algorithm is used to map the existing data and optimize the evaluation index system in combination with the genetic algorithm. This research denotes the effort to find out the index evaluation combination corresponding to the best overall score, make the established evaluation index system applicable to other countries, and provide reference for cross-border e-commerce investors when evaluating the investment climate in each country. This study provides the important practical implications in the sustainable development of China’s cross-border e-commerce environment.

scholarly journals Safety Evaluation Method of Antifloating Anchor System Based on Comprehensive Weighting Method and Gray-Fuzzy Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Jingwen ◽  
Qiao Jiangang ◽  
Dou Yuanming ◽  
Fu Xu ◽  
Liu Xiaoli
Keyword(s):  
Risk Factors ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Underground Structure ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Grey Theory ◽  
Entropy Weight ◽  
Weighting Method ◽  
Anchor System

The risk factors in the safety evaluation of antifloating anchor system of underground structure have the characteristics of complexity, grey, and fuzziness. Based on the Delphi method, analytic hierarchy process (AHP), and entropy weight method, this paper establishes a three-level evaluation index system based on four main risk factors and calculates the subjective and objective comprehensive weights of the index according to the comprehensive weighting method. It not only takes into account the valuable experience of the expert group but also reflects the objective impact of the subjective score on the system. On the basis of the above research, the grey-fuzzy safety evaluation method of antifloating anchor system is established by using the grey theory and the relevant theory of fuzzy mathematics. The reliability of the method is verified by an example, which has certain theoretical significance and application value.

scholarly journals Evaluation and Policy Research on the Sustainable Development of China’s Rare Earth Resources

2018 ◽  
Vol 10 (10) ◽  
pp. 3792 ◽  
Author(s):  
Xuedong Liang ◽  
Meng Ye ◽  
Li Yang ◽  
Wanbing Fu ◽  
Zhi Li
Keyword(s):  
Sustainable Development ◽  
Rare Earth ◽  
Environmental Protection ◽  
Technological Innovation ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Protection System ◽  
Social Progress ◽  
The Sustainable Development ◽  
Low Efficiency

As rare earth resources are indispensable raw materials for modern society, they have become strategic global reserve resources. Even though China is the world’s largest producer and exporter of rare earth, the industry has low efficiency and severe problems with over-exploitation and environmental pollution; therefore, there needs to be a greater focus on the sustainable exploitation of rare earth resources. This paper establishes an innovative evaluation index system for the sustainable development of China’s rare earth resources from six main aspects; economic development, social progress, environmental protection, technological innovation, rare earth development and utilization, and rare earth protection in which the indicators are assessed using an entropy method. Grey correlation analysis was used to evaluate China’s rare earth sustainable development level from 2006–2016, from which it was found that sustainable development was poor from 2006–2010 and marginally better from 2011–2016. The main factor affecting rare earth sustainable development in China was found to be the lag in the development of environment protection system and rare earth protection system. Policy recommendations for improving China’s rare earth protection, environmental protection, and technological innovation are proposed to guide government regulations and assist rare earth industry personnel.

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