Improved Entropy Method Research Articles

Measurement and difference analysis on tourism competitiveness of Blue Economic Zone

Blue Economic Zone is the first regional development strategy in China with the theme of marine economy, including all the sea areas in Shandong province and six cities of Qingdao, Dongying, Yantai, Weihai, Weifang, Rizhao as well as Wudi, Zhanhua counties in the administrative division of Binzhou. This paper tentatively constructed the evaluation index system of tourism competitiveness of Blue Economic Zone on the basis of interpretation on tourism current situation in Blue Economic Zone, and exploited the improved entropy method and the fuzzy comprehensive evaluation method for quantitative evaluation on the tourism competitiveness of each city in the region.

Application of fuzzy dynamic weights drivability evaluation model in tip-in condition

Only the subjective or objective method is employed to calculate the index weight in the evaluation of drivability, which makes the evaluation result less accurate. In this paper, a drivability evaluation model was proposed on the basis of fuzzy dynamic weights, and the drivability was evaluated in tip-in conditions. The evaluation indexes affecting drivability in tip-in conditions were determined using multi-dimensional analysis. The dynamic weight was built using an improved analytic hierarchy process and improved entropy method in accordance with the principle of “function driving and difference driving.” The fuzzy matrix was built by drawing upon the improved membership function of the evaluation index. Finally, the drivability evaluation model of the tip-in condition was built with dynamic weight and fuzzy matrix. The evaluation model was employed to evaluate the drivability of the vehicle, which obtained the drivability score. As the experiment results suggest, the evaluation model is accurate and effective in comparison with the real score and the score obtained from the fuzzy analytic hierarchy process. The evaluation model is employed to formulate a control strategy for a vehicle that will allow better drivability. Besides, the method makes the performance development of the vehicle more knowledgeable and agile.

Comprehensive evaluation of global clean energy development index based on the improved entropy method

In order to achieve global energy supply security, environment-friendly, coordinated configuration and efficient use, the development of clean energy is imperative. In this paper, a clean energy development index evaluation index system with four grades is established from the two aspects of clean energy installed capacity and clean energy generation. Based on the improved entropy method of the sub-section and sub-dimension comprehensive evaluation model and the clean energy installed capacity and clean energy power generation of the year of 2013 and 2014, the absolute, the relative and the incremental development index of various categories of clean energy in different countries is obtained, and then the overall clean energy absolute, the relative and the incremental development index of every country is calculated. Ultimately, the clean energy composite development index is obtained. According to the descriptive statistics analysis method and combined with the characteristics of clean energy development in studied countries, 231 countries are divided into four categories: A++, A+, A, A−. By changing the weight determination method, the efficiency coefficient entropy method is used to verify the level of clean energy development, and the Spearman correlation of the exponential results calculated by different methods is analyzed. The conclusion is drawn that the top 10 countries in the clean energy development index in 2014 are the United States, China, Germany, France, Spain, Italy, Kenya, the Philippines, Canada and New Zealand. In fully developed countries, the absolute, the relative and the comprehensive development index of clean energy are relatively high. In emerging countries, the incremental development indexes of clean energy are relatively high, and the emerging countries of the clean energy market have great potential for development.

Prediction of Food Safety Network of Public Opinion Hot-Degree Based on Improved Entropy Method and Markov

Prediction of Food Safety Network of Public Opinion Hot-Degree Based on Improved Entropy Method and Markov

Comprehensive evaluation system of intelligent urban growth

With the rapid urbanization of the world, urban planning has become increasingly important and necessary to ensure people have access to equitable and sustainable homes, resources and jobs.This article is to talk about building an intelligent city evaluation system.First,using System Analysis Model(SAM) which concludes literature data analysis and stepwise regression analysis to describe intelligent growth scientifically and obtain the evaluation index. Then,using the improved entropy method to obtain the weight of the evaluation index.Afterwards, establishing a complete Smart Growth Comprehensive Evaluation Model(SGCEM).Finally,testing the correctness of the model.Choosing Otago(New Zealand )and Yumen(China) as research object by data mining and SGCEM model,then we get Yumen and Otago’s rational degree’s values are 0.3485 and 0.5376 respectively. It’s believed that the Otago’s smart level is higher,and it is found that the estimated value of rationality is consistent with the reality.

A study on reliability of power customer in distribution network

The existing power supply reliability index system is oriented to power system without considering actual electricity availability in customer side. In addition, it is unable to reflect outage or customer’s equipment shutdown caused by instantaneous interruption and power quality problem. This paper thus makes a systematic study on reliability of power customer. By comparing with power supply reliability, reliability of power customer is defined and extracted its evaluation requirements. An indexes system, consisting of seven customer indexes and two contrast indexes, are designed to describe reliability of power customer from continuity and availability. In order to comprehensively and quantitatively evaluate reliability of power customer in distribution networks, reliability evaluation method is proposed based on improved entropy method and the punishment weighting principle. Practical application has proved that reliability index system and evaluation method for power customer is reasonable and effective.

Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites

High-speed railway (HSR) express freight train service sites selection is critical to the development of China’s Third Party Logistics market. In this paper, we formulate an improved entropy-cloud model based approach to solve the HSR express sites selection problem for the first time. The basic data of the indicators, for example, existing railway network conditions, traffic environment, express freight market demand, and policy, will be used as the inputs. We apply improved entropy method to obtain each subindicator’s weight. The cloud model will be used to select and classify each station under evaluation.

Calculation method and application of loss of life caused by dam break in China

Dam failure constitutes a grave threat to human life. However, there is still a lack of systematic and comprehensive research on the loss of life (L) caused by dam break in China. From the perspective of protecting human life, a new calculation method for L occurred in dam break floods is put forward. Fourteen dam failure cases in China are selected as the basic data by three-dimensional stratified sampling, balancing spatial, vertical elevation and temporal representations, as well as considering various conditions of the dam collapse. The method includes three progressive steps: Firstly, some impact factors of loss of life (IFL) are selected by literature survey, i.e., severity of dam break flood (S F), population at risk (P R), understanding of dam break (U B), warning time (T W) and evacuation condition (E C). And the other IFL of weather during dam break (W B), dam break mode (M B), water storage (S W), building vulnerability (V B), dam break time (T B) and average distance from affected area to dam (D D) are also taken into account to get a more comprehensive consideration. According to disaster system and disaster risk, these eleven IFL are divided into four categories. Through the improved entropy method, eight key IFL are further selected out of the eleven. Secondly, four L modules are built based on four categories, which are L-causing factor module (M 1), L-prone environment module (M 2), affected body module (M 3) and rescue condition module (M 4). Eventually, by using two methods of multivariate nonlinear regression and leave-one-out cross-validation in combination with coupled four modules, the calculation method for L is established. Compared with the results of Graham method and D&M method, the result of the proposed one is much closer to the actual value and performs better in fitting effect and regional applicability. In the application, L calculation and consequence assessment are carried out in the example of Hengjiang reservoir that has already broken down. At the same time, L calculation and risk prediction are used in the analysis of Yunshan reservoir, which is under planning. The proposed method can not only be applied to estimate L and its rate (f L ) under various types of dam break conditions in China, but also provide a reliable consequence assessment and prediction approach to reduce the risk of L.

Research on the Evaluation of E-Commerce Logistics in the Cloud Computing Environment

Cloud computing has the advantages of low cost, large scale, general and scalable. In all areas of the social life and the economic life, the cloud computing is widely used. And the emergence of the cloud computing is another revolution in the information society. With the rapid development of e-commerce, the combination of e-commerce and cloud computing has been proved to be a win-win combination. But, there still are many problems of the e-commerce in the cloud computing environment, especially in logistics. In this paper, we establish the e-commerce logistics evaluation system in the cloud computing. And we use the e-commerce logistics evaluation method to evaluate the logistics in the cloud computing based on the improved entropy method. Finally, the experiments show that the proposed method can be effectively applied to the evaluation of e-commerce logistics in the cloud environment and the evaluation results are objective and effective.

Performance of urban land use pattern evolution and mechanism in China during the transformation period

China is currently experiencing a transition period from traditional society to modern society, agricultural society to industrial society, and planned economic system to market economic system. Thus, the structure of urban land use changes significantly and urban land use needs material space and cultural space reconstitution. In the background of transformation development, measuring performance of urban land use becomes an important research topic and has practical significance for urban land resources optimal allocation and urban development reconstruction.Taking 31 provinces in China as the research object, the paper built up an evaluation index system of urban land use performance based on four aspects of construction, effectiveness, efficiency and management. The improved entropy method, the spatial statistical model, R/S analysis method and PCA model are used to preliminarily discuss the performance of provincial urban land use space- time pattern evolution and mechanism from 2000 to 2012. The study showed that:(1) the performance level of provincial urban land use was on the rise and showed an obvious regional difference which is characterized by an increasing trend in East-West direction and an inverted "U"-shaped pattern in North-South direction.(2) The performance of provincial urban land use had a positive correlation with spatial cluster phenomenon; partial performance hot spot areas were mainly located in the Beijing-Tianjin region and the Yangtze River Delta, and extended to the Pearl River Delta; the performance cold spot areas formed a stable "L"-shaped pattern which were mainly concentrated in western China; the performance of provincial urban land use had an obvious fractal characteristic and showed a growing trend that the significantly growing areas were located in the Beijing- Tianjin region and the Yangtze River Delta.(3) Urbanization, industrial structure, technological level and market have comprehensively driven the performance of provincial urban land use space-time pattern evolution.To promote the performance of provincial urban land use, the eastern region in the future should improve urban land marketization, renew the concept of land resources management and continuously optimize allocation of land resource utilization structure; while the western region should raise regional urbanization development level, promote regional technology progress, optimize urban industrial structure, and develop the secondary and tertiary industries.

The Research on Coupling Coordination Development between China's Provincial Financial Agglomeration and International Trade

On the analysis of the interaction effect between financial agglomeration and international trade and by borrowing coupling theory in physics, we use the improved entropy method to construct the coupled evaluation model about the system of financial agglomeration and international trade, which spans a period from the year of 2005 to the year of 2013 of 31 provinces, autonomous regions and municipalities of mainland China. The results of clustering analysis indicate that there exists coupling relationship of interaction and mutual constraints between financial agglomeration and international trade. In these 31 regions, coupling coordination development type spans six grades, and the coupling coordination degree of the eastern regions is much higher than that of the mid-western regions. With the deduction of time, the provincial general trend is transforming to a higher type of coupling coordination development. Especially, the coupling coordination degree of the middle regions (Jiangxi, Anhui, Henan, Hunan and Hubei) and the western regions (Sichuan, Chongqing, Yunnan, Guangxi and Xinjiang) has a clear upward trend.

The Application of Improved Entropy Method in the Sustainable Utilization of Russia Oil Resources

The oil resource is the important energy and the strategic resource. It has the significant influence on the long-term, steady, sustainable development to national economy and the society. The oil resource sustainable use directly is deciding a national or the local economic potentiality and the development potential. Therefore, the research oil resource sustainable use the oil resource strategy choice and the plan will provide the important policy-making basis for its reasonable development as well as the national economy.

Sustainable Development Evaluation of Urban Traffic System

Sustainable development is one of the themes of the world today. Considering growing urban traffic problems and urban environmental problems, developing sustainable transport is particularly important. Based on the urban traffic sustainable development theory, an evaluation index system of traffic sustainable development is built using analysis method and testing methods of index system. Then an improved entropy method is used to define the weight of index of traffic sustainable evaluation index system, and an evaluation model is built, which provides a new perspective for urban sustainable development research.

Weight Analysis on Influencing Factors of Reservoir Basin Deformation

Reservoir basin deformation monitoring data of some high arch dams has shown that the upstream of the dam subsided while the downstream warped upward slightly. Therefore, combining reservoir basin with high arch dam and foundation, the widespread finite element model is built and the reservoir basin deformation and its influence factor weight are determined through the simulation of the bedrock depth, the extending length of the upstream and downstream and different water levels based on an improved entropy method. The engineering simulation model has proved the reservoir basin deformation mechanism. Moreover, the reservoir basin deformation will tend to converge when the simulation model expands to certain extent. The research can provide suggestions for deformation doubts occurring during the high arch dam operation.

Failure Risk Assessment of the Power System Transmission Line Based on an Improved Entropy Method

This paper presents an improved entropy method to assess the post-fault power system. The proposed method defines four indicators to assess the seriousness of the post-fault power system according to the specified severity function from the aspects of static stability and transient stability, and to weight the severity indicators through an improved entropy method. The risk assessment function for system failure is then established by combining the severity function with line fault probability model from statistical analysis of historical in power system. This proposed method has been tested with IEEE - 9 nodes system. Simulation results show that the proposed improved entropy method is able to make full use of various information, effectively avoids the problem of over weighting of any indicators, and improves the reliability and accuracy of the failure risk assessment of the power system.

A New Improved Entropy Method and its Application in Power Quality Evaluation

This paper puts forward a new improved entropy method, which fixes the problem of traditional entropy weight method that entropy weights present the wrong message of entropy when all the entropy values are close to 1. The proposed method achieved efficient performance by designing calculation model of BP network. Firstly, the synthesis weights of power quality indexes were calculated by rank correlation analysis and the improved entropy method, which avoids the one-sidedness of subjective or objective. And the quantitative values of multi-index were obtained. Then a calculation model of BP network to realize this evaluation method is designed in this paper, making it more efficient and more practical. Finally, the evaluation of a power supply bureau has verified the effectiveness of the proposed method.

The Evaluation of Drought Degree in Irrigation District Based on Variable Fuzzy Evaluation Method

In view of the disadvantages of drought evaluation methods in irrigation district, the variable fuzzy sets theory has been adopted in this paper to establish the variable fuzzy sets drought evaluation method in irrigation district. At the same time, the improved entropy method has been employed to determine the objective weights and the minimum discrimination information principle has been used to combine the subjective weights with the objective weights, which have eliminated the one-sidedness of the application of a single weighting preferred program.