AHP-entropy Weight Research Articles

Coupling and Coordination Analysis of High-Quality Agricultural Development and Rural Revitalization: Spatio-Temporal Evolution, Spatial Disparities, and Convergence

The coupling and coordination of high-quality agricultural development (HQAD) and rural revitalization is an inevitable choice to accelerate the realization of Chinese-style agricultural and rural modernization. Based on system theory, this study reconstructs the indicator systems of both and conducts measurements by applying the improved AHP–entropy weight method. This study has extended the analytical methods of kernel density estimation, Dagum Gini coefficient, σ convergence, and spatial β convergence to further investigate the spatio-temporal evolution, regional disparities, and convergence effect of the coupling coordination degree (CCD) of HQAD and rural revitalization in China from 2010 to 2020. The results show that the CCD has a tendency to increase year by year, presenting the characteristics of ‘high coupling degree–low comprehensive development level–low coupling coordination degree’, and also has the spatial distribution pattern of ‘high in the east and low in the west’. In addition, most of the provinces have a tendency to jump to a higher stage of coupling coordination; the overall trend of the kernel density curves is favorable; the results of Dagum’s Gini coefficient show that inter-regional disparities contribute the most to regional spatial disparities; and there is a significant tendency towards σ convergence and spatial β convergence of the CCD in China and the four regions. This study stimulates a broader discussion of rural revitalization, with potential implications for decision making in practice.

Research on EU natural gas security and countermeasures based on two-dimensional cloud model

The disruption of natural gas supply in the European Union (EU) and the ensuing price volatility triggered by the Ukrainian crisis have underscored the critical importance of natural gas security. This study aims to assess the current state of gas security in 27 EU countries that heavily rely on natural gas imports. We propose a comprehensive framework comprising seven dimensions to delineate natural gas security, complemented by a set of 13 evaluation indicators. Employing an enhanced AHP-entropy weight method, TOPSIS method, and two-dimensional cloud model, we rigorously evaluate the natural gas security performance across these 27 EU nations. Through the identification of primary influencing factors and the categorization of natural gas security levels, we establish an overarching ranking of gas security in the EU27. Our findings reveal that the EU's natural gas security risk level is classified as level III, with availability and affordability emerging as key dimensions significantly impacting security performance. This assessment not only offers valuable insights for energy-import-dependent countries and regions but also furnishes assessment tools and indicators crucial for evaluating natural gas security across diverse geopolitical contexts.

Coupled analysis and simulation of safety risk in subway tunnel construction by shallow-buried excavation method based on system dynamics

To address the existing shortcomings in the research on the coupling of safety risk factors in subway tunnel construction using the shallow-buried excavation method, this paper conducts a coupled analysis and dynamic simulation of the safety risks associated with this construction method. Firstly, by analyzing the mechanisms and effects of risk coupling in shallow-buried excavation construction of subway tunnels, this study divides the risk system into four risk subsystems (human, material, management, and environment), establishes an evaluation index system for the coupling of safety risks, calculates the comprehensive weight values of the risk indicators using the AHP-entropy weight method, and constructs a risk coupling degree model by combining the inverse cloud model and efficacy function. Subsequently, based on the principles of system dynamics, a causal relationship diagram and a system dynamics simulation model for the coupling of “human-material” risks in construction are established using Vensim PLE software. Finally, the case study of the underground excavation section of Chengdu Metro Line 2 is employed to perform dynamic simulation using the established model. By adjusting the relevant risk coupling coefficients and simulation duration, the impact of the coupling of various risk factors on the safety risk level of the human-material coupling system is observed. The simulation results demonstrate that: 1) Heterogeneous coupling of human and material risks has a particularly significant effect on the system’s safety risks; 2) Violations by personnel and initial support structure defects are key risk coupling factors. The findings of this study provide new insights for decision-makers to assess the safety risk of shallow-buried excavation construction in subway tunnel.

Towards Effective Measures for Curbing the Illegal Wildlife Trade: A Comprehensive Approach with ARIMA Modeling and Responsible Party Evaluation

Illegal wildlife trade has become an urgent global problem that threatens global ecosystems, biodiversity and sustainable development. This problem requires us to propose comprehensive measures to significantly curb illegal wildlife trade.We used data from government work reports from 2014 to 2023 to establish an evaluation system for the responsible parties, and found that wildlife conservation is very important to the Chinese government using the AHP-Entropy weight method. We developed relevant measures to reduce illegal wildlife trade based on Citespace's literature research method. Then we collected public data from Chinese governmental departments from 2010 to 2023, and used ARIMA model to predict the future of the initiatives we developed to reduce illegal wildlife trade. By collecting public data from the China Wildlife Wildlife Enforcement Agency and fitting the state of wildlife conservation based on China's national conditions over the past 15 years, we evaluated the available resources and found that while the overall trend of the Chinese government can reduce illegal trade practices, the trend is not stable in the short term. China's wildlife protection agencies can continue to increase enforcement of this problem to better reduce the occurrence of illegal wildlife trade behavior.

Development of an Urban Traffic Safety Evaluation System Based on the Matter Element Method

The urban road traffic safety situation significantly influences the city’s development pace and residents’ lives. Therefore, focusing on urban roads as the research subject leads to two types of hazards as secondary indicators. The first type of hazard, being the energy carrier, determines the severity of accident consequences, while the second type determines the probability of accidents occurring. By selecting 12 corresponding three-level indicators for hazard assessment and establishing a matter element model, an example analysis was conducted. MATLAB was employed along with AHP-entropy weight method to determine weight values and evaluate levels using the matter element model. Improvement suggestions are also proposed.”

Development of Family Farms in Inner Mongolia, China

As one of the new agricultural business subjects, family farms are the main force behind the development of agriculture and the leader of agricultural modernization in China. At present, the development of family farms in Inner Mongolia is on the rise, but there are still many problems, so it is crucial to evaluate the development of family farms to find out the problems for targeted development. In this paper, first, after double-screening objective data of family farm development evaluation indexes through the combination of the gray correlation degree and Spearman’s rank correlation coefficient, we constructed an index system for evaluating family farm development including 19 indexes, such as whether to register a business license. Second, based on the index system constructed in the previous step, the index weight vector was measured using the AHP–entropy weight method, which reflects the cognitive experience of experts, while taking into account the objective laws of data. Next, based on the index weight, the scores of 755 family farms were calculated to measure the level of development of family farms, and the ratings were divided into three categories based on the scores using K-mean cluster analysis. The study found that: (1) The weight of the indicator on the rank of the new professional farmer was 0.102, ranking first; the weight of the indicator on whether the children of the person in charge have the intention to engage in farming and animal husbandry was 0.091, ranking second; and the weight of the indicator on the number of basic production facilities and necessary machinery and equipment was 0.088, ranking third. (2) The highest score of 755 family farms in Inner Mongolia was only 50.161 points, and the overall development of family farms was at an average level. Therefore, based on the results of the study, five paths were proposed to enhance the development of family farms.

Using the AHP-Entropy Weight Method to Study Regional Marine Economy Resilience in China

Using the AHP-Entropy Weight Method to Study Regional Marine Economy Resilience in China

Coupling coordination of the water‒energy‒carbon system in three provinces of Northeastern China

Water resource consumption, energy consumption, and carbon emissions are key factors that restrict the level of regional development and affect the quality of the regional ecological environment. This study investigates three provinces in Northeastern China, using remote sensing and historical data from the period 2001–2019 to analyze the spatiotemporal trends of water and energy consumption, and carbon emissions. Using the AHP-entropy weight method, comprehensive analysis method, and system dynamics research method, the coupling relationships of the three subsystems (water‒energy‒carbon, WEC) were determined, and the development and changes over the next 20 years were simulated. The results show that: 1) Over the period 2001–2019, the comprehensive index of the WEC system in the three Northeastern provinces ranged from 0.0994 to 0.2314. 2) Over the period 2001–2019, the coupling degree of the WEC system in the three Northeastern provinces ranged from 0.9457 to 0.9985, equating to a high coupling stage level. However, the level of coupling coordination was low, with values ranging from 0.3151 to 0.4780, equating to a state of mild disorder or near disorder. 3) During the study period, water resource consumption, energy consumption, and carbon emissions all showed an increasing trend, with the former having the fastest growth rate. This study is of great significance for promoting the sustainable utilization of resources and green and low-carbon development in the three studied Northeastern provinces of China.

Assessment of Sustainable Supply Capability of Chinese Tin Resources Based on the Entropy Weight-TOPSIS Model

This study focuses on the issue of supply security in Chinese tin resources, conducting a comprehensive analysis encompassing supply security, demand conditions, market risk, and geopolitical stability. The study employs the AHP-Entropy Weight method to calculate the comprehensive weights of various indicators, revealing the sustainable supply capability of the resources and the challenges they confront. The research unveils that the domestic supply potential and the international commercial extraction environment are pivotal influences on the sustainable supply capability of tin resources. Firstly, since 2010, China has started to import net tin ores and concentrates, leading to a substantial increase in external dependency. However, China’s tin resource reserves have gradually decreased, posing challenges to the stability of the tin resource supply. Secondly, the stability of supply countries and the security of import channels critically affect the stability of the tin resource supply chain. A comprehensive analysis of the outcomes indicates a consistent decline in China’s sustainable tin resource supply capability since 2010, primarily due to the deterioration of resource supply conditions, growth in demand, and the escalation of geopolitical risks. Thus, the evolving foreign extraction environment, domestic resource supply potential, and the alteration in the global tin resource extraction landscape require significant attention.

Process Evaluation for Diversified Academic Assessment Mechanism in Higher Education Institutions by Use of Data Mining

A diversified academic assessment mechanism can effectively improve students’ learning motivation, make up for the possible blind spots of a single assessment method, and better guide students’ learning and teachers’ teaching. Using data mining methods to process evaluation data for diversified academic assessment mechanisms in colleges and universities can discover patterns in students’ learning, find key factors affecting academic performance, and provide a basis for teaching reform. Most of the current process evaluation data mining methods focus on hard skills, such as academic performance and classroom participation, but it is difficult to evaluate soft skills such as critical thinking and teamwork. To this end, this paper studies the process evaluation data mining methods for a diversified academic assessment mechanism in colleges and universities. It constructs an indicator system for process evaluation of diversified academic assessment mechanism in colleges and universities, gives a quantitative method for indicators, and performs fuzzy comprehensive evaluation based on AHP-entropy weight method. For the evaluation of text-based indicators, a consistency training method is introduced to train the process evaluation correlation mining model using a large amount of unlabeled process evaluation examples, which effectively solves the problems of lack of labeled data, high labeling cost, and changes in data distribution, and improves the performance and availability of the model. The experimental results verify the effectiveness of the proposed method.

Evaluation of the ventilation mode in an ISO class 6 electronic cleanroom by the AHP-entropy weight method

As ISO Class 6 electronic cleanrooms are required to meet stringent environmental control standards during production, an energy-efficient ventilation mode is required to maintain an appropriate thermal and humidity environment and a comfortable workplace. However, the optimum air supply distribution to ensure thermal comfort, energy efficiency and cleanliness is unclear. Therefore, numerical simulations were carried out to determine the workspace satisfaction, energy utilization coefficient satisfaction and contaminant-removal satisfaction with FFU-clean bench coverage(C) ranging from 25% to 100%. We use the AHP-entropy weight method to evaluate four different ventilation modes for different cleanroom design targets, and then select suitable ventilation modes to meet them. The results show that in the core work area, the temperature difference, relative humidity difference and air velocity difference increase with increasing coverage. Furthermore, when the C = 25%, the priority of thermal comfort and cleanliness of employees is satisfied. Moreover, when C = 50%, high energy efficiency of the ventilation system is achieved. The AHP-entropy weight method evaluation system provides a theoretical basis for the selection of cleanroom ventilation design solutions.

Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS

With the rapid development of communication technology and information processing technology, the construction of the Urban Energy Internet (UEI) has become one of the important construction elements of the new power system, and it is necessary to assess and analyse its development status and potential. However, the results of the current assessment of the maturity of UEI development are relatively rare, and the transformation path of urban smart energy construction needs to be studied in depth. On this basis, this study aims to propose an improved and comprehensive evaluation model for the maturity of UEI development. This study first considers the dynamic development process of the UEI and proposes an evaluation index system for the maturity of UEI development that includes three dimensions of development status, development benefits and development prospects. Secondly, a comprehensive evaluation model based on GRA-KL-TOPSIS is constructed by using the AHP-entropy weighting method to calculate the combined weights of indicators and considering the Kulla back-Leibler distance to replace the Euclidean distance in the traditional evaluation method. Finally, the maturity of Energy Internet development is calculated for five typical first-tier cities in China (Beijing, Shanghai, Guangzhou, Tianjin and Shenyang), and the final ranking of the five cities is Shanghai > Beijing > Guangzhou > Tianjin > Shenyang. The results of the study prove the scientific validity of the model. Compared to the unimproved Topsis method, the evaluation results calculated based on the improved Topsis evaluation model are more objective and realistic in reflecting the score and rating of the cities. The analysis of the empirical results shows that cities at different stages of development should make up for their shortcomings and increase their investment in infrastructure development, technological innovation and the introduction of talents in order to accelerate the digital and intelligent development of energy.

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

Let Starry Light the World

When the night is no longer lit up by stars, when the light that man once craved gradually swallows up the world, light pollution leaves the night sky without its back- ground, and life on the blue planet is immersed in the pain of light invasion. How to measure and solve light pollution has become an urgent global problem in today’s world, and we are deeply worried about it. So, we built an indicator model and developed effective methods to improve light pollution. For TASK I : In order to enhance the wide applicability of our model, we established TOPSIS Method based on AHP Model and Entropy Weight Method, which was used to analyze the indirect factors reflecting light pollution to the degree of regional pollution and their respective proportions. It is showed on the results that the regional vehicle ownership is the indirect factor reflecting the greatest degree of light pollution. After that, we deeply analyzed the more specific factors reflecting the impact of light pollution on the area by establishing a random forest model. Finally, we learned that biodiversity was the most important factor reflecting the impact of light pollution, accounting for 37% among the factors we consider. For TASK II: In order to control the influencing factors, light intensity and color temperature were divided into four levels as first-level factors, and the influence of artificial light was taken as second-level factors. Satellite images were simulated and optimal interval method and linear regression model were used to establish the contribution model of light pollution. Through this model, we proposed three intervention strategies and evaluated each of the four regions. The results showed that the scheme using lampshades worked best in suburban and urban communities, reducing light pollution risk levels by about 52 percent. For TASK III: We selected the most effective strategies for improving light pollution in Shanghai and produced a leaflet at last.

An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping

Landslides are one of the most destructive and common geological disasters in the Tonglvshan mining area, which seriously threatens the safety of surrounding residents and the Tonglvshan ancient copper mine site. Therefore, to effectively reduce the landslide risk and protect the safety of the Tonglvshan ancient copper mine site, it is necessary to carry out a systematic assessment of the landslide susceptibility in the study area. Combining the unascertained measure (UM) theory, the dynamic comprehensive weighting (DCW) method based on the fuzzy analytic hierarchy process (AHP)-entropy weight method and the set pair analysis (SPA) theory, an improved UM-SPA coupling model for landslide susceptibility assessment is proposed in this study. First, a hierarchical evaluation index system including 10 landslide conditioning factors is constructed. Then, the dynamic comprehensive weighting method based on the fuzzy AHP-entropy weight method is used to assign independent comprehensive weights to each evaluation unit. Finally, we optimize the credible degree recognition criteria of UM theory by introducing SPA theory to quantitatively determine the landslide susceptibility level. The results show that the improved UM-SPA model can produce landslide susceptibility zoning maps with high reliability. The whole study area is divided into five susceptibility levels. 5.8% and 10.16% of the Tonglvshan mining area are divided into extremely high susceptibility areas and high susceptibility areas, respectively. The low and extremely low susceptibility areas account for 30.87% and 34.14% of the total area of the study area, respectively. Comparison with the AHP and Entropy-FAHP models indicates that the improved UM-SPA model (AUC = 0.777) shows a better performance than the Entropy-FAHP models (AUC = 0.764) and the conventional AHP (AUC = 0.698). Therefore, these results can provide reference for emergency planning, disaster reduction and prevention decision-making in the Tonglvshan mining area.

Optimization of extraction process of Chuanxiong Rhizoma-Gastrodiae Rhizoma based on network pharmacology and multi-index orthogonal test

To optimize the extraction process of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair by network pharmacology combined with analytic hierarchy process(AHP)-entropy weight method and multi-index orthogonal test. The potential active components and targets of Chuanxiong Rhizoma-Gastrodiae Rhizoma were screened by network pharmacology and molecular docking, and the process evaluation indexes were determined with reference to the Chinese Pharmacopoeia(2020 edition). The core components of Chuanxiong Rhizoma-Gastrodiae Rhizoma were determined as gastrodin, parishin B, parishin C, parishin E, ferulic acid, and 3-butylphthalide. With the extraction volume of each indicator and yield of dry extract as comprehensive evaluation indicators, the extraction conditions were optimized by the AHP-entropy weight method and orthogonal test as the ethanol volume of 50%, the solid-liquid ratio of 1∶8(g·mL~(-1)), extraction for three times, and 1.5 h each time. Through network pharmacology and molecular docking, the process evaluation index was determined, and the optimized process was stable and reproducible for the extraction of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair, which could provide reference for in-depth research.

Analysis of Hazardous Waste Management Elements in Oil and Gas Enterprises Based on the Life-Cycle Management Concept

By analyzing the China’s hazardous waste management policy and the existing problems in hazardous waste management, the elements of hazardous waste management in oil and gas exploration enterprises were identified. Based on the theory of life-cycle management under the concept of sustainable development, combined with literature research, a three-level comprehensive index system was constructed by using the AHP–entropy weight method to evaluate the hazardous waste management capability of oil and gas enterprises. It was proposed that oil and gas enterprises should further strengthen the life-cycle management of hazardous waste, strengthen the assessment of hazardous waste management capacity, continuously establish a sound hazardous waste supervision system, and actively build a hazardous waste information control platform to realize the whole-process tracking management, as well as other suggestions.

Study on the Evolution and Optimization of the Spatial Structure of the Oasis in the Arid Area: A Case Study of the Aksu River Basin in China.

To achieve high-quality sustainable development in arid areas based on the concept of ecological civilization, it is necessary to deeply study the territorial spatial structure characteristics. Taking the Aksu River Basin, an important ecological security barrier in northwest China, as an example, this paper follows the research idea of "feature analysis-suitability evaluation-conflict identification analysis-optimization" and constructs a comprehensive model based on the AHP-entropy weight comprehensive evaluation method, ArcGIS spatial identification analysis, variance coefficient-TOPSIS method, and NRCA. A comprehensive model based on the AHP-entropy power integrated evaluation method, ArcGIS spatial identification analysis, variance coefficient-TOPSIS method, and NRCA was constructed to guide the optimization of the territorial spatial layout by exploring the characteristics of territorial spatial pattern, the suitability of territorial spatial development, the identification of territorial spatial conflicts, and the efficiency and functional advantage of territorial spatial utilization in the study area. The results show that: (1) The spatial type of territorial space in the Aksu River Basin from 2000 to 2020 is dominated by ecological space, agricultural space, and urban space, and the three spatial boundaries are irregularly interlaced. (2) The spatial utilization conflict pattern of the Aksu River Basin has formed, and the general conflict area is overgrowing. (3) The overall efficiency of territorial utilization in the Aksu River Basin is low, with significant differences among county administrative units. (4) After optimization, the three types of space in the watershed are adjusted and refined into six functional areas: basic farmland protection area, rural development area, ecological protection red line area, ecological control area, urban development area, and industrial supporting construction area.

Analysis of airport passenger satisfaction based on combined weight-fuzzy comprehensive evaluation

In order to make passengers' satisfaction with the airport improved again and the airport side to make passengers understand the improvement of the airport in recent years according to the evaluation results, this paper constructs an airport passenger satisfaction evaluation system based on fuzzy comprehensive evaluation by combining weight analysis with AHP-entropy weight method, and describes the specific evaluation process of the model. A case study of Lhasa Gonga Airport is conducted, and the results verify the reliability of the research method and the applicability of the evaluation model. The evaluation results can provide a reference for the passenger satisfaction analysis of this airport and similar airports.

Research on navigation interface design of children's health application based on AHP-entropy weight method

Research on navigation interface design of children's health application based on AHP-entropy weight method