Combination Weighting Method Research Articles

Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment

Selecting an energy management system for regional integrated energy system (EMS-RIES) is essential to improve energy management. But there lacks an EMS-RIES selection research. Meanwhile, some main issues, such as information loss, criteria interaction, properties of criteria, and risk preference, can influence the decision precision largely and have not been handled together in current decision researches. To fill these gaps, this study develops an integrated decision framework. Firstly, an evaluation criteria system is established from five dimensions. Secondly, double uncertainties on the degree of impact between criteria and criteria performances of each alternative are depicted by credibility-based hesitant fuzzy linguistic term set to reduce information loss. Thirdly, a combination weight method is used to determine criteria weight and interaction between criteria are investigated. Then, a cumulative prospect theory modified PROMETHEE II model considering properties of criteria and risk preference simultaneously is applied to rank the alternatives. Finally, a case study verifies the feasibility and practicability of the developed framework, and the final performances of alternatives are influenced by weight changing, properties of criteria, and risk preference. Furthermore, the comparative analysis shows that the proposed model has superiority to reveal the differences between alternatives due to its big distinction degree.

Credit Evaluation Model of Road Transportation Enterprises Based on the Combination Weighting Method

In the road transportation industry, the high risk of default by enterprises will have a serious impact on consumer interests and market order. To improve the scientific nature of the credit evaluation of road transportation enterprises, this paper establishes a credit evaluation model based on the combination weighting method, considering the information volume, volatility, and difference of the road transportation enterprises data and using normalized constraints of maximum variance to determine the combination weights. The model fully considers the degree of difference between the indicators and makes up for the deviation of the single weighting method. Finally, the paper makes an empirical analysis of 115 road transportation enterprises in a certain province of China and verifies the rationality of the combination weighting model. The results show that the credit level of a road transport enterprise in a certain province is at a medium level. Strengthening the supervision and examination of the management, qualification, and safety production capacity of the enterprise can further improve the credit level of the road transportation enterprise.

Multi-objective Offloading Decision Based on Combination Weighting Method for Multi-access Edge Computing

Generally, in the edge computing scenario, edge devices can offload tasks to the edge servers to reduce device energy consumption and task execution delay. It is necessary to find an offloading strategy which can balance and minimize the task execution delay and device energy consumption. This is usually classified as a multi-objective problem. It is a common method to get the Pareto optimal solution set by using multi-objective optimization algorithm. However, there is a problem about how to find out the eclectic optimal solution that can embody the user's subjective consciousness and meet the objective information of Pareto optimal solution set. This paper solved this problem by combining subjective and objective combination weighting method. First, the subjective weight matrix which reflects the user's subjective consciousness is obtained by analytic hierarchy process. Then, the objective weight matrix which can embody the objective information of the index is obtained through the entropy method. Finally, the combination weight matrix is obtained by subjective and objective weighting method. After comprehensively evaluating the Pareto optimal solution set, the solution with the minimum comprehensive evaluation value is regarded as the Pareto compromise optimal solution. In this paper, the combination weighting method is applied to multi-access edge computing scenario and verify its feasibility in this scenario.

Operation Performance Evaluation of Elevators Based on Condition Monitoring and Combination Weighting Method

Operation Performance Evaluation of Elevators Based on Condition Monitoring and Combination Weighting Method

Evaluation of Unmanned Aerial Vehicles Cooperative Combat Effectiveness Based on Conditional Entropy Combination Weight Method

For evaluating the cooperative combat effectiveness of unmanned aerial vehicles (UAVs), traditional entropy methods have an undue weight coefficient of the index due to its high degree of dispersion, and the interrelationship between the indices are not considered. To deal with this problem, this paper proposes a conditional entropy combination weighting method for evaluating the cooperative combat effectiveness of UAVs. Firstly, with the aim of establishing the UAV cooperative combat index system, the modified Delphi method has been combined with analytic hierarchy process (AHP) and interval estimation. This method has been used for estimating the degree of contribution of each index and to remove the indices that have a low contribution. Secondly, the principle of conditional entropy has been introduced for modifying the entropy method with the consideration of the interrelation between the indices. Finally, the modified entropy and AHP have been combined to assign the final weight in the UAV cooperative combat system. Testing results demonstrate that the index system established by this method is more comprehensive and reasonable as compared to that established by the traditional Delphi method. Compared with the single weighted method, this method is more suitable for the evaluation system of UAVs cooperative combat effectiveness.

Measurement and convergence analysis of agricultural green development level in China

Based on the panel data of 30 provinces and regions (except Taiwan, Hong Kong, Macao and Tibet) from 2010 to 2019, this paper measures the green development level of agriculture in China by using critic-entropy weight combined weight method, and then uses σ convergence and absolute β convergence methods to test its change trend. Based on the research conclusions, countermeasures and suggestions were put forward to make up for the shortcomings, promote the exchange and cooperation between provinces and regions, and narrow the differences between provinces, in order to provide reference for policy formulation and promote the green development of agriculture in China.

Dynamic assessment and early warning of ecological security: a case study of the Yangtze river urban agglomeration

Ecological security is vital to the survival of human beings and critical to the sustainable development of socioeconomic environment. In view of the deficiencies of the static assessment of ecological security, in this paper ,a dynamical evaluation on the ecological security of urban agglomerations is conducted by utilizing an index system developed from the Driving Force-Pressure-State-Response model. Further, an empirical study is carried out for the Yangtze River Urban Agglomeration to explore the ecological security alarms and change rules: Incorporating the statistical data from 2005 to 2017 into the investigation, the combined weight method is applied to calculate the weight of ecological safety over ecological security contribution, and the Moran's I index is implemented to analyze the changes in the spatial pattern. The results show that (1) The ecological security index of the Yangtze River Urban Agglomeration exhibits a smaller fluctuation primarily caused by the transformation of economic development mode, and the overall ecological security has been improved since 2005 from less safe to security level in general. (2) Spatial differences exist between North and South as well as between urban agglomerations, and the overall ecological security is improved due to ecological protection measures and industrial structure adjustment, and (3) The levels of early warning for these cities in the Yangtze River Urban Agglomeration differ, Varying between medium level and severe level. Furthermore, It is also found that human activities greatly impact the ecological security, and the intensity of land development is the greatest threat.

Safety Evaluation Method for Long-Term Operation of Metro Based on Combination Weighting Method

Metros are critical infrastructure in big cities and evaluation of their safe operation is of increasing importance. To make a reasonable safety evaluation for the metro during operation, this paper establishes a rational safety evaluation model based on long-term monitoring data of Shanghai Metro Line 2. Four evaluation indicators, i.e., absolute settlement, relative curvature, deformation rate and curvature radius, are adopted. Analytic hierarchy process (AHP) and entropy method are combined to determine the weights of the indicators. The risk level values at different mileage are calculated and five danger levels are defined accordingly to determine the safety state of Shanghai Metro Line 2, i.e., safe, relatively safe, critical, relatively dangerous, and dangerous. Safety evaluation of Shanghai Metro Line 2 shows that: 83.81% areas of Shanghai Metro Line 2 are in safe, relatively safe and critical states, while 15.63% and 0.57% areas are in relatively dangerous and dangerous states, respectively; the parts of Shanghai Metro Line 2 where the risk level value exceeds the critical value are mainly distributed around the mileage at 6.0–7.5 km and 8.5–11.0 km, and the risk level value peaks around the mileage at 7.3 km, in which high attention should be attached and relevant protective measures be taken; the sections with the high risk level value coincide with the distinctly deforming areas of the metro, indicating that this evaluation method is valid.

Risk Evaluation of Sewage Treatment PPPABS Projects Using Combination Weight Method and D-S Evidence Theory

In order to make up for the shortage of public-private partnership (PPP) model, more and more sewage treatment PPP projects have adopted the asset-backed securitization (ABS) model. To ensure success of sewage treatment PPPABS projects, risk evaluation, which has remained scarcity and unscientific, is becoming an urgent problem to be solved. Firstly, this paper identifies critical risk factors by literature analysis and expert interview. The final risk system is established from the perspectives of macrorisks, basic asset risks, transaction structure risks, operational risks, and other risks, which include 17 second risk factors. Then, the overall risk evaluation method is proposed based on combination weight method and Dempster–Shafer (D-S) evidence theory. Next, Beijing capital Co. Ltd. sewage treatment PPPABS project as a case is employed to verify the feasibility and effectiveness of the proposed method. Finally, awareness of existing risks, suggestions from law risk, quality risk, underwriting and issue risk, and credit enhancement are provided for sewage treatment PPPABS projects. All above studies are expected to provide helpful references for evaluating overall risk of sewage treatment PPPABS projects.

Study of the Comprehensive Evaluation of Energy Efficiency of an Oilfield Heating Furnace Based on Combination Weighting Method

Abstract The heating furnace is an essential oilfield facility for surface gathering, treatment, and transportation, so the energy consumption level of an oilfield is directly affected by its operational efficiency. In this paper, the thermal efficiency, exhaust gas temperature, external surface temperature, excess air coefficient, and load rate of a heating furnace are taken as energy efficiency evaluation indexes. By improving game theory, the objective and subjective weights are combined to determine the final weights of each index. On this basis, the grey TOPSIS method is used to establish the energy efficiency evaluation model of an oilfield heating furnace, which is to comprehensively evaluate the energy consumption of the heating furnace by calculating the closeness degree between its actual and ideal operational states. Finally, the effectiveness of the energy efficiency evaluation model is verified by taking an actual oilfield as an example, the results show that the weight sequence of the indexes is thermal efficiency, exhaust gas temperature, external surface temperature, load rate, and excess air coefficient. In addition, the relative closeness of the heating furnace is mostly concentrated between 0.5 and 0.7, which shows that the efficiency is low. The weak link of energy consumption is analyzed, and the corresponding improvement measures are put forward.

Operation status evaluation of low voltage distribution network based on PCA- entropy combined weight method

With the rapid development of smart grid and distribution network intelligence, how to accurately grasp the operating status of the distribution network is an urgent task. Therefore, this paper proposes a method for evaluating the operating status of low-voltage distribution networks based on the PCA-entropy combined weight method. Firstly, the improved principal component analysis (PCA) is used to extract the distribution network evaluation indexes and establish an evaluation index system, which from the four aspects of safety, reliability, quality, and economics. Then model the indexes of each level and calculate the subjective and objective comprehensive weights of the indexes of each level by using the entropy combination weight method. Finally, the feasibility and practicability of the method are verified by comprehensive evaluation of the actual distribution network.

An integrated methodology to manage risk factors of aging urban oil and gas pipelines

Aging urban oil and gas pipelines have a high failure probability due to their structural degradation and external interference. The operational safety of the aging urban oil and gas pipeline is challenged by different hazards. This paper proposes a novel methodology by integrating an index-based risk evaluation system and fuzzy TOPSIS model for risk management of aging urban oil and gas pipelines, and it is carried out by evaluating the priority of hazards affecting pipeline safety. Firstly, the hazard factors of aging urban oil and gas pipelines are identified to establish an index-based risk evaluation system. Subsequently, the fuzzy TOPSIS model is employed to evaluate the importance of these hazard factors and to decide which factors should be managed with priority. This work measures the importance of a hazard factor from three aspects, i.e. occurrence (O), severity (S) and detectability (D), and the weights of these three parameters are determined by a combination weight method. Eventually, the proposed methodology is tested by an industrial case to illustrate its effectiveness, and some safety strategies to reduce the operational risk of the pipeline are presented. The proposed methodology is a useful tool to implement more efficient risk management of aging urban oil and gas pipelines.

Constructing a Risk‐Sharing Framework for Sponge City PPP Projects from the Perspective of the Individual Participant

Construction of sponge city PPP projects is perceived as a feasible measure for achieving the sustainable urbanization. To ensure the success of sponge city PPP projects, reasonable sharing of risks among participants, which has remained scarce and unscientific, is becoming an urgent problem to be solved. In order to enable the individual participant to accurately grasp the situation of his own risks, specifically for the individual participant, this paper constructs a risk‐sharing framework for sponge city PPP projects. Firstly, this paper identifies critical risk factors by the Delphi method. The final risk evaluation index system is established from the perspectives of political risks, economic risks, construction risks, and operational risks, which include 16 secondary risk factors. Then, risk factors’ weights are determined based on a combination weight method (combining the G1 method and the C‐OWA operator). Next, in order to share risks reasonably, the first step is to obtain the risk factors that can be borne by one participant and define the risk factors that need to be shared among participants through the method of combining GCA method and TOPSIS method. The second step is to build a model based on the utility theory to determine the proportion of risks shared among participants. Finally, the sponge city PPP project in Qingshan demonstration area of Wuhan city as an example is employed to verify the feasibility and effectiveness of the constructed risk‐sharing framework. All the aforementioned studies are expected to provide helpful references for reasonable risk sharing in sponge city PPP projects.

Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China.

The healthy development of the city has received widespread attention in the world, and urban resilience is an important issue in the study of urban development. In order to better provide a useful reference for urban resilience and urban health development, this paper takes 56 cities in China as the research object, and selects 29 indicators from urban infrastructure, economy, ecology and society. The combination weight method, exploratory spatial data analysis (ESDA) and spatial measurement model are used to explore the spatial distribution of urban resilience and its influencing factors. From 2006 to 2017, the urban resilience of prefecture-level cities in the four provinces showed a wave-like rise. During the study period, the urban resilience values, measured as Moran’s Is, were greater than 0.3300, showing a significantly positive correlation in regard to their spatial distribution. Regarding the local spatial correlation, the urban resilience of the study area had spatial agglomeration characteristics within the province, with a significant distribution of “cold hot spots” in the spatial distribution. From the perspective of the factors that affected urban resilience, the proportion of the actual use of foreign capital in GDP and carbon emissions per 10,000 CNY of GDP had a negative impact and GDP per square kilometer, the proportion of urban pension insurance coverage, the proportion of the population with higher education, and expenditure to maintain and build cities had a positive impact. The development strategy of urban resilience must be combined with the actual situation of the region, and the rational resilience performance evaluation system and the top-level design of urban resilience improvement should be formulated to comprehensively improve urban resilience.

Performance Evaluation of Energy Transition Based on the Technique for Order Preference by a Similar to Ideal Solution and Support Vector Machine Optimized by an Improved Artificial Bee Colony Algorithm

Energy transition is an important factor when dealing with climate change and energy crisis under resource constraints. The performance evaluation of it is significant for improving and promoting the process of energy transition. This paper explores the application of the support vector machine improved by the artificial bee colony algorithm (IABC-SVM) method in the energy transition performance evaluation process. It provides an intelligent evaluation tool for the evaluation of the regional energy transition performance. Firstly, the evaluation indicator system of energy transition is constructed from five dimensions: energy supply, demand, efficiency, institution, and environment. Then, the technique for order preference by a similar to ideal solution improved by a combination weighting (CW-TOPSIS) method and IABC-SVM are constructed. After that, according to the evaluation values of 30 provinces in China calculated by CW-TOPSIS, 10-fold cross validation is used to compare the errors of support vector machine (SVM), support vector machine optimized by the artificial bee colony algorithm (ABC-SVM), and IABC-SVM, which proves the effectiveness and accuracy of IABC-SVM in evaluating the performance of energy transition. Finally, the IABC-SVM is used to evaluate the energy transition performance of 30 provinces in 2016. Through a comparative analysis, the relevant suggestions of energy transition are put forward.

Identification of unbalanced bids based on grey-fuzzy evaluation method

To provide theoretical reference for owners to identify unbalanced bids, this paper aims to construct an identification method based on grey relational and fuzzy set theory. Firstly, to measure the closeness degree between bidding unit price from engineering’s estimated price, grey relational analysis theory is used to express the relationship between them. Secondly, a combined weight method determining all line items is calculated through integrating analytic hierarchy model and maximizing deviation method. Thirdly, based on fuzzy set theory, the membership degree and the fuzzy relation matrix are constructed, and then a fuzzy comprehensive identification method is established to identify unbalanced bidding. Fourthly, on the basis of fuzzy comprehensive identification method, the scoring set and total score vector are designed, and the rank of unbalanced bids is obtained by total score vector. Finally, a practical construction project bidding is stated to illustrate the effectiveness and practicability of the proposed method.

Exploring the relation between the industrial structure and the eco-environment based on an integrated approach: A case study of Beijing, China

Tremendous economic growth creates increasing pressure on the eco-environment, and the industrial structure has an important influence on the eco-environment. To explore the relation between the industrial structure and the eco-environment, we established a new evaluation index system for both the industrial structure and the eco-environment; then, using data on Beijing from 1992 to 2016, we applied an integrated approach involving the combination weight method, the coupling coordination degree model, the dynamic coupling coordination degree model and the scissors difference model with the following results. (1) The industrial investment structure and the eco-environment status account for the largest proportion of the industrial structure and the eco-environment index systems, respectively. (2) The comprehensive level of the industrial structure is initially higher than that of the industrial structure system and then gradually slows and lags behind. (3) The coupling coordination degree between the industrial structure and the eco-environment in Beijing shifts from “barely coordinated development” stage to “superior coordinated development” stage. (4) The dynamic coupling coordination degree of the whole system presents an S-shaped curve evolving from the “low-grade symbiosis” stage to the “harmonious development” stage and approaching the “utmost development” stage. (5) The scissors difference presents a V-shaped curve, and the gap in the development trend between the industrial structure and the eco-environment diminishes. This study discusses the relationship between the industrial structure and the eco-environment of Beijing from 1992 to 2016, which should be beneficial in promoting the coordinated development between the industrial structure and the eco-environment of Beijing.

Fault Diagnosis of Gearbox Based on Improved DUCG With Combination Weighting Method

To reduce the influence of uncertain factors on the results of gearbox operation condition evaluation and fault diagnosis, and to improve the reliability and stability of gearbox operation, an improved dynamic uncertain causality graph (DUCG) fault diagnosis method is proposed by combining the qualitative and quantitative information obtained. In addition, to address the lack of objectivity of correlation variables in the dynamic uncertainty causal graph, the combination weighting method is used to reassign correlation variables. The sub-DUCGs of gear, bearing, shaft, and box are established and connected with a logic gate and conditional connection variables. The DUCG is used to diagnose the faults in the gearbox, and the effectiveness and rationality of the method are verified by comparing the probabilities of the maximum pre-selected events before and after the improvement. Because the combination weighting method only makes moderate modifications for different weights, the limitations of the diagnosis accuracy and the calculation of variable weights are discussed by choosing faults with different numbers of weights. The results show that the improved DUCG can more accurately identify root faults, and the growth rate of the probability of maximum pre-selected event increases with an increase in the number of weights.

Research on Operation Benefit Evaluation of Power Network Project Based on Combination Weighting Method

Firstly, on the basis of economic efficiency, equipment and operational safety, public interest and other dimensions, this paper constructs an evaluation index system for operational benefit of power grid projects, and then a combined weighting method based on Analytic Network Process (ANP) and entropy weight method is established. Finally, an empirical study is carried out based on the actual data of power grid projects, and the research results prove the effectiveness of the model.

Dynamic Comprehensive Benefit Evaluation of the Transnational Power Grid Interconnection Project Based on Combination Weighting and TOPSIS Grey Projection Method

With the rapid development of the global economy, the interconnection of power grids has become an objective law and a trend of the power industry development. The implementation of power grid interconnection projects, especially transnational power grid interconnection projects, will bring us substantial benefits. To demonstrate these benefits comprehensively, we designed a comprehensive evaluation index system with multiple international engineering characteristics. The index system takes the influencing factors of economic, social, environmental and technical benefits into account. In order to improve the rigidity and power of weight determination, we proposed the least squares method which combines the order relation method and the factor analysis method. Furthermore, the limitation of the one-way evaluation was effectively overcome by combining TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), grey relation analysis method and vector projection method. In addition, we adjusted the potential impact of the time on evaluation by using the quadratic weighted algorithm, so that we can dynamically evaluate the comprehensive benefits. Finally, we verified the established index system and evaluation model through an example of eight different investment plans of a transnational high voltage direct current (HVDC) transmission project. Altogether, results from this paper will provide a guidance reference and decision support for the grid corporation to invest in transnational power grid interconnection projects.