Comprehensive Weighting Method Research Articles

Evaluation of Public Welfare Level of Urban Rail Transit considering Operation Management

Evaluating the public welfare level of the urban rail transit systems has not only great significance for the government to provide fair and reasonable subsidies but for the better operation and management of urban rail transit enterprises. An evaluation index system composed of 3 criterion-level indicators and 12 subindexes has been established in this paper. The 3 criterion-level indicators conclude service level, social benefit, and policy loss which are all affected by operation management. Besides, the subjective and objective comprehensive weighting method combined with the analytic hierarchy process method and the entropy weight method is proposed to calculate the index-level weights. Furtherly, the grey correlation-TOPSIS comprehensive evaluation method was designed to calculate the comprehensive evaluation value of the public welfare level of each city. To verify the effectiveness of the proposed method, urban rail transit systems in 16 Chinese cities are studied as a case study. The results show that (1) the three indicators of passenger travel cost (25.69%), the increase in housing prices around urban rail transit(10.74%), and operating cost ratio(9.95%) are more likely to affect the evaluation of public welfare level of urban rail transit. (2) the level of public welfare in different cities is not balanced. The cities with a relatively high level of public welfare relative closeness exceeding 0.5 include Shanghai, Beijing, Shenzhen, Guangzhou, Suzhou, Wuhan, Nanjing, Wuxi, and Dalian. (3) Both GDP and urban population are positively correlated with the relative closeness of social benefit and service level. (4) The level of public welfare can be improved by reducing the fare price and improving the service level, such as increasing the network density, reducing the departure interval, and increasing the average speed.

Evaluation of the Water Resource Carrying Capacity on the North Slope of the Tianshan Mountains, Northwest China

Water resource carrying capacity (WRCC) is essential for characterizing the harmony between humans and water resources in an area. Investigation of the WRCC is useful for guiding the sustainable development of a region. The northern slope of the Tianshan Mountains is an important area for the economic development of Xinjiang, China. In recent years, the supply of water in the area barely satisfies the demand. To quantitatively evaluate the WRCC, data for four indicators including the water resources, social and economic development, and ecological environment of the area were utilized. The comprehensive weighting method, which combines the entropy and analytic hierarchy processes, was used to assess these indicators. A fuzzy comprehensive evaluation model was employed to evaluate the urban WRCC of the northern slope of the Tianshan Mountain for 2018. The results showed urban WRCC values varying between good and moderate for the northern slope of the Tianshan Mountains, and this indicates that the study area is in a loadable state. Although the water supply can meet the development of cities on the northern slope of the Tianshan Mountains to a certain extent at this stage, because it is located in the arid region of western China, the shortage and uneven distribution of water resources are one of the biggest limiting factors for the future development of this region. The findings of the present study provide a basis for the development, rational allocation, and sustainable utilization of urban water resources on the northern slope of the Tianshan Mountains.

A Fuzzy Evaluation Method of Power Transformer Insulation Health State Based on Multi-weight Fusion

During the evaluation of transformer insulation health state, the weight of each evaluation indicator has a significant influence on its evaluation result. To overcome the existing problem of determining the weight of evaluation indicators by a single method, this paper proposes a comprehensive weight fuzzy evaluation method based on multi-weight fusion. Firstly, the proposed method uses principal component analysis (PCA) method to determine the objective weight of each evaluation indicator based on the measured data of the power transformer. Then years of practical experiences from industry experts are introduced to subjectively study the relative importance of the evaluation indicator’s influences on the insulation health states and to build the relative importance of judgment matrix of relative relationship. The subjective weight of each indicator is determined by using the analytic hierarchy process. Next, the objective weight and the subjective weight are fused by using the least square method to obtain the comprehensive weight of the evaluation indicator. And insulation health values and insulation health levels of the power transformers are obtained by using fuzzy comprehensive evaluation. Finally, example analysis and comparison are carried out by using the actual operating data of the transformer. Compared with the single principal component analysis method, the correct rate of the comprehensive weighting method of the evaluation indicator proposed in this paper is improved by 5.9%, which is 10.7% higher than that of the single analytic hierarchy process. The results verify the effectiveness and practicability of the method proposed in this paper. The proposed method provides a scientific basis for the maintenance and overhaul of the transformer. It has a very important practical significance for improving the stability of the power grid and ensuring the normal and orderly progress of the national economy.

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network.

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

Forest management plan based on carbon sequestration model

With the increase of carbon dioxide emissions in various countries, greenhouse gases surge, posing a threat to life systems. In this context, how to balance the multifaceted value of forests and improve the relationship between climate change through carbon sequestration of forests and forest products, so as to achieve the sustainable development of forests, is an urgent problem to be solved. The forest management decision-making model established in this paper includes comprehensive considerations such as carbon sequestration, biodiversity, socio-economic and cultural entertainment. The forest carbon sequestration model consists of direct absorption by vegetation and indirect sequestration of carbon dioxide by forest products. We use Cara model to comprehensively estimate forest net primary productivity and establish a model of carbon dioxide storage of forest products based on analytic hierarchy process. In order to realize the sustainable development of forest, we also applied fuzzy comprehensive evaluation and entropy weight method to establish a forest management plan model integrating biodiversity, social economy, culture and entertainment. Finally, we applied the model to Saihanba National Forest Park in China and got positive feedback. The forest management model established in this paper provides theoretical basis and technical support for forest sustainable development.

Operational Diagnosis and Evaluation of Electric Power Enterprises Based on Game Theory Comprehensive Weighting Method

Operational Diagnosis and Evaluation of Electric Power Enterprises Based on Game Theory Comprehensive Weighting Method

Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

A Study on Comprehensive Evaluation Methods for Coordinated Development of Water Diversion Projects Based on Advanced SWOT Analysis and Coupling Coordination Model

The implementation of water diversion projects will exert different influences on upstream water offering areas and the downstream water receiving areas. In order to effectively promote the coordinated development of the two regions, a comprehensive evaluation system for the coordinated development of water transfer projects has been proposed with the Middle Route of the South-to-North Water Transfer Project as the research object. The system conducts a multidimensional evaluation of social development, economic development, and ecological environmental impact, and builds a comprehensive evaluation index system with fifteen evaluation indexes at three levels, with the indexes weighted through the comprehensive weighting method based on the combination of the G1 method and the entropy weight method. Based on the degree of coordinated development among various systems, the coordinated development of the Middle Route of the South–North Water Transfer Project is graded through a comprehensive evaluation. This method is tested in the decision support system of the Middle Route Construction and Administration Bureau, China. The results show that: (1) The coupling coordination degree value of the middle route of the South-to-North Water Diversion Project is 0.8912, which shows that the regional development of the water transfer project is high coupled coordination. (2) The coordination between the economic system and the ecological environment system is weaker than the coordination between the economic system and the social service system, and the coordination between the ecological and social services is the best. Finally, based on an advanced SWOT analysis of the future development of the middle route of the South-to-North Water Diversion Project, effective suggestions for regional development are provided. It provides reference or guidance for the competent authority to manage the water diversion project and the central government to comprehensively evaluate the effectiveness of the water diversion project.

A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks

With the increasing use of sensitive loads in frequency converters and in relays in distribution networks, voltage sag has become a major power quality issue that urgently needs to be solved. For the purpose of improving the understanding of voltage sag severity in distribution networks, a comprehensive weight-based severity evaluation method of voltage sag is presented in this paper. First, a multi-side index system that takes into account the combined influence of the source, network, and the load is established. A comprehensive weight method, which combines the improved analytic hierarchy process (IAHP) and the entropy method, is then adopted to determine the index weight. The weight of each index and the degree of superiority are linearly weighted to obtain the severity of voltage sag at different observation points. Finally, the effectiveness of the proposed method is verified using a distribution network model established in DIgSILENT PowerFactory (15.1.7, Gomaringen, Germany).

Evaluation and Application of Surrounding Rock Stability Based on the Improved Weighting Multidimensional Cloud Model

Aiming at the uncertainty in the existing tunnel surrounding rock stability evaluation methods and the inability to make scientific explanations in the process of determining the weights of multiple evaluation indicators, this paper combines subjective weighting based on the nonlinear characteristics of the surrounding rock stability evaluation criteria. Based on the advantages of the method AHP and the objective weighting method CRITIC, a comprehensive weighting method with multiple evaluation indicators is proposed, which is integrated with the multidimensional normal cloud model to establish a surrounding rock stability evaluation method for the improved weighted multidimensional cloud model and accurately obtain the safety level of tunnel surrounding rock construction. The multidimensional cloud model based on improved weighting not only solves the two major problems of randomness and ambiguity in surrounding rock stability evaluation but also fully considers the influence of the information contained in each evaluation factor on the results. The surrounding rock stability evaluation method in this paper is applied to the tunnel construction of the Beijing-Shanghai Expressway and Jinan Expressway connecting line construction project, and the evaluation results have a scientific guiding role for construction risk control.

Research on the assessment of the capacity of urban distribution networks to accept electric vehicles based on the improved TOPSIS method

This study proposes a TOPSIS-based method for assessing the ability of distribution networks to accept electric vehicles. This method establishes an assessment index system in terms of the rationality, safety, and economy of the distribution network operation, and assesses the capacity of the distribution network in all aspects. Firstly, a fuzzy theory-based model of users' charging psychology under the influence of time-of-use electricity price was constructed, and the spatio-temporal distribution of EV charging loads in the target area was predicted using travel chain theory and Monte Carlo methods. Secondly, considering the rationality, safety and economy of the distribution network operation, a comprehensive evaluation index system for acceptability has been constructed. Then, a comprehensive weighting method for evaluation indexes based on AHP and entropy weight method is proposed, and the improved TOPSIS is used to evaluate the acceptance capacity of the distribution network when EV charging loads are connected in different ways. Finally, a typical IEEE33 distribution network is used to simulate the time and space distribution of the charging load, and taking the charging load access schemes proposed in this paper to verify the effectiveness of the evaluation method.

Safety Evaluation of Large-size Transportation Bridges Based on Combination Weighting Fuzzy Comprehensive Evaluation Method

The load of large-size vehicles has not been clearly defined in the existing bridge design codes in our country. When large-size vehicles cross the bridge, the bridge has certain safe-ty hazards. At present, there are not many evaluation methods for the driving safety of large-size transportation bridge structures. In order to scientifically evaluate the traffic safety of the large-size transportation bridge structure, this paper considers the factors of bridge, traffic and environment, and establishes the evaluation index system for the operation safety of the large-size transportation bridge structure, using the comprehensive weighting method of the G1-entropy weight method. Calculating the weight and combining the fuzzy comprehensive evaluation method to evaluate the traffic of the large-scale transportation bridge in Huanglong County, Shaanxi Province, the results show that the traffic safety level of the bridge is level II, which has good safety.

Coupling coordination and obstacle factors between tourism and the ecological environment in Chongqing, China: a multi-model comparison

ABSTRACT This paper constructed the tourism and eco-environment index system, calculated the coupling and coordination relationship between them in Chongqing, from 2000 to 2017, by comparing 9 combination models; and identified the main obstacles through the obstacle model. The results showed that: (1) The comprehensive weighting method (CWM) has the highest accuracy, the coupling coordination mode (CCDM) is more adaptable; the CWM-CCDM is the most suitable. (2) The coupling degree changed from antagonism to run-in phase. (3) The coupling coordination degree improved annually, is in moderate coordination stage currently. (4) The tourism had greater obstacles; the main obstacles vary with time.

Impact of glacier changes in the Himalayan Plateau disaster

Excluding the polar areas, the Hindu Kush–Himalayan (HKH) Plateau and its surroundings have the most glaciers. The Himalayan Plateau and its surroundings have declined gradually over the past 100 years. However, unexpected shifts have taken place since the 1990s in the condition of the glaciers. The massive loss of the small glaciers, in particular, was more extreme than the failures of the gigantic glaciers with an area about a km2. The approximate decay calculated through the Remote Sensing techniques has shown that from 1989 to 2009, the longitudinal region of Siachen Glacier decreased by 5.9 km in total area. To measure their potential strength to average surface runoff, a variety of standardized land cover climatic variables is being used to describe the spatiotemporal distribution of snow storms, and evaporation. The spatial trend primarily represents an irregular shift in the Himalayan glaciers and the surrounding areas. This research examined and disclosed the spatiotemporal distribution and development of Moraine-Dammed (MD) lakes and Likely Hazardous Glacier Changes (LHGC) in the Himalayan Plateau (HP). A unified degree of disaster for county-based Glacier Eruption Floods (GEFs) by integrating LHGC risks, geographic visibility, susceptibility, and using the hierarchical analytic process and comprehensive weighted method. The comparison between current and proposed methods is made by using the analysis hierarchical process, a proposal methodology in dynamic environments where several factors are taken into consideration in prioritization and selection of alternatives. GEF are types of outbursts that are triggered by a system that has a glacial lake collapse. An occurrence like the one in which a glacier is melting or overflowing in a water body is known as glacier run. The findings show that in the Himalayan plateau, there are 662 MD lakes, covering a complete range of 198.6 km2, of which 301 lakes covering a total area of 80.21 km2 are identified as LHGCs. The number of lakes declined by just 3.13% relative to 1989–1999, although the overall lake region has increased by 19%. The GEF disaster frequency regionalization findings show the distribution of historical GEF disaster sites.

A Method to Deal With Inter-regional and Inter-provincial Transaction Settlement Deviation Quantity Based on Kernel Density–Entropy Weight

The mismatch between energy distribution and power load in China can be alleviated by inter-regional and inter-provincial power transactions. However, it also brings challenges to transaction settlement. In the new round of electric power reform, the transaction settlement deviation quantity needs to be more standardized. Based on the analysis of the related work, this article used the analytical framework of the analytic hierarchy process to calculate the transaction type weight, the inter-regional, and the inter-provincial weight, respectively, and accordingly, quantifies the amount of deviation quantity allocated by the corresponding trading subjects. According to the size and volatility of the trading quantity, we further propose a comprehensive weighting method based on kernel density and entropy weight to quantify the deviation quantity of inter-regional and inter-provincial trading subjects of different trading types. Specifically, this article first used the kernel function weighting method to calculate the weights of different transaction types that measure the transaction quantity, and then the improved entropy weight method was used to calculate the weights of different transaction types that reflect the volatility of the transaction quantity. Then, the comprehensive weights were constructed by considering the influence of the above two dimensions on the distribution of the deviation electricity simultaneously. The deviation electricity responsibility determination model was used to clarify the transaction subject's deviated electricity responsibility, and the deviated electric quantity calculation model was used for quantification. At last, the validity and practicability of the method were verified through the analysis of examples using the inter-regional and inter-provincial power transaction data from China.

Aero-engine Gas Path Performance Degradation Assessment Based on a Multi-objective Optimized Discrete Feedback Network

In order to solve the problem of neural network algorithm for aero-engine’s gas path performance evaluation under high-dimensional evaluation index with non-equal weights, the trend analysis method and fault fingerprints are used to mine engine’s gas path performance characteristic parameters. A comprehensive weighting method based on game theory is proposed to optimize the weight value of each gas path performance characteristic parameter. A discrete feedback neural network with single-layer and binary output is established. The original gas path performance evaluation index is equivalently expanded according to the weight ratio, and the gas path state evaluation indexes with different weights are mapped into higher-dimensional equivalent evaluation indexes with equal weights. The network attractor is designed according to the engine gas path performance evaluation levels, and the design of discrete feedback neural network weights is transformed into multi-objective programming problem, and a particle swarm optimization algorithm with adaptive inertia weight is used to improve the efficiency and global search ability of particle swarm optimization. The experimental results shows that the proposed model and algorithm can provide a scientific and reasonable machine learning method for the evaluation of high-dimensional evaluation index with non-equal weights.

Structural multi-objective topology optimization and application based on the criteria importance through intercriteria correlation method

A structural multi-objective topology optimization method integrating the solid isotropic material with penalization (SIMP) approach, compromise programming method and criteria importance through intercriteria correlation (CRITIC) method is proposed. The SIMP approach performs topology optimization. The compromise programming method builds a comprehensive objective function to handle the multi-objective optimization. The CRITIC method, which reflects the contrast intensity and conflicting character of objectives, is applied to determine the weight coefficients of objectives. The conceptual design of a vehicle shock tower is taken as a numerical example. Comparison of the original design and the optimized conceptual design indicates that the stiffness and frequency performance of the shock tower clearly improve as the total weight reduces. Meanwhile, comparison of the weight coefficients and corresponding optimization results produced by the subjective method, CRITIC method, grey comprehensive relational analysis and entropy weight method proves that the CRITIC method is feasible and superior in structural multi-objective topology optimization.

Evaluation model of coal mine emergency rescue resource allocation based on weight optimization TOPSIS method

In order to solve the problems of unreasonable allocation and low efficiency of emergency rescue resources in coal mine accidents, it is necessary to establish a coal mine emergency rescue resource allocation model by using comprehensive weight-approximation ideal solution (TOPSIS method).This paper takes rock burst in a coal mine as an example by extending this designed emergency rescue plan. Firstly, calculated the weight of the evaluation index affecting the emergency rescue is selected by AHP method and entropy weight method respectively. Then weight optimization is inspired by comprehensive weight method. Finally, the optimal scheme is selected by TOPSIS method, and the model is verified by AHP method approaching ideal solution and entropy weight method approaching ideal solution. The results shows that: (1) There are two influencing factors have great effect on the evaluation of coal mine emergency rescue model, which are rescue time and advance of rescue channel; (2) The optimal scheme is program 5 through comprehensive weight approaching ideal solution, which is consistent with the actual situation of the project, indicating that the model has high reliability.

Study on Land Use Change and Land Ecological Security in Zhoushan Archipelago

The purpose of the manuscript is to evaluate the land use change and land ecological security of Zhoushan Archipelago from 1995 to 2017, and to predict the land ecological security status from 2021 to 2025 to guide the intensive and ecological use of island land. Obtain the utilization status of 6 land-use types in Zhoushan Archipelago in 1995, 2000, 2005, 2010, 2015 and 2017 by using 12-view Landsat satellite remote sensing image data, the DPSIR-EES model was used to establish index system, the weight of each index was determined by entropy method, the multi-factor comprehensive weighting method was used to calculate ecological security index. The results showed that: the area of construction land in Zhoushan Archipelago continued to increase from 1995 to 2017, mainly through the occupation of grassland/cultivated land. Grassland/ cultivated land area decreased by 22.54%, and tidal flat area decreased by 62.66%. The land ecological security index in Zhoushan Archipelago showed an increasing trend, the security level raised from unsafe level to general security level. Conclusions are that land ecological security of Zhoushan Archipelago was generally good during study period, it is necessary to deal with the relationship between island land use and ecological environment protection in the future, and realize the symbiotic linkage between island economic and social development.

Analysis of the Spatiotemporal Differences in the Quality of Marine Economic Growth in China

Yu, H. and Xing, L., 2021. Analysis of the spatiotemporal differences in the quality of marine economic growth in China. Journal of Coastal Research, 37(3), 589–600. Coconut Creek (Florida), ISSN 0749-0208.Scientifically measuring the quality of marine economic growth and fully understanding the actual state of and trends in the evolution of marine economic growth in China are necessary tasks for ensuring the high-quality development of the marine economy. Guided by five development concepts, an evaluation index system is constructed in this article, and the comprehensive entropy weight method is used to measure the spatial and temporal characteristics of the evolution of the quality of marine economic growth in China. The results were as follows. First, the quality of China's marine economic growth was increasing from 2004–2016, and the growth quality index rose significantly from 0.2066 to 0.7753. The central coastal areas from Shandong to Guangdong developed rapidly, with growth range of Guangdong, Shandong, and Shanghai of 0.5644, 0.5329, and 0.5820, respectively, ranking these areas as the top three. However, there are significant differences in provincial-level development, such as the very large gap between Guangdong Province (0.8622) and Guangxi Province (0.6810) in 2016. Second, the quality of China's marine economic growth was high in middle coastal regions and low in the southern and northern coastal regions, with improvements gradually spreading from the middle to the northern and southern regions. Third, the contribution of each of the five concepts—innovation, greenness, coordination, sharing, and openness—is ranked, and each exhibited an upward trend over the sample period. Therefore, measures that implement the five development concepts take advantage of spatial spillover effects and improve the comparative advantage of provinces with high-quality development must be undertaken to cooperatively advance the high-quality development of the marine economy.