Entropy Weight TOPSIS Model Research Articles

Evaluation and Obstacle Factors of the Green Development Level of Mature Resource-Based Cities Based on Entropy Weight TOPSIS Model: A Case Study of Daqing City in China

Evaluation and Obstacle Factors of the Green Development Level of Mature Resource-Based Cities Based on Entropy Weight TOPSIS Model: A Case Study of Daqing City in China

Assessment of influencing factors on the flight performance of J-series fighter jets based on the entropy weight-TOPSIS model

To enhance the scientific approach to fighter jet design and improve performance in areas such as supersonic cruise, long-range strike, and high maneuverability, this paper first collects, organizes, and thoroughly analyzes relevant data on factors affecting the flight performance of existing J-series fighter jets, including indicators such as engine thrust, aspect ratio, root-to-tip ratio, and wing shape. Using the entropy weight-TOPSIS evaluation analysis model, the performance factors influencing J-series fighter jets are quantitatively analyzed and ranked, avoiding subjective assumptions. Ultimately, the flight performance scores of eight J-series fighter jets under ten influencing factors are obtained. The results show that the top four scoring fighter jets are J-31 > J-20 > J-10 > J-15. This outcome provides directional guidance for the future development of fighter jets, indicating that by selecting appropriate engines, root-to-tip ratios, aspect ratios, and tail fin types, fighter jets can achieve better flight performance. This has significant implications for enhancing national defense capabilities, promoting military technological progress, and fostering economic development.

Assessment of influencing factors on the flight performance of J-series fighter jets based on the entropy weight-TOPSIS model

To enhance the scientific approach to fighter jet design and improve performance in areas such as supersonic cruise, long-range strike, and high maneuverability, this paper first collects, organizes, and thoroughly analyzes relevant data on factors affecting the flight performance of existing J-series fighter jets, including indicators such as engine thrust, aspect ratio, root-to-tip ratio, and wing shape. Using the entropy weight-TOPSIS evaluation analysis model, the performance factors influencing J-series fighter jets are quantitatively analyzed and ranked, avoiding subjective assumptions. Ultimately, the flight performance scores of eight J-series fighter jets under ten influencing factors are obtained. The results show that the top four scoring fighter jets are J-31 > J-20 > J-10 > J-15. This outcome provides directional guidance for the future development of fighter jets, indicating that by selecting appropriate engines, root-to-tip ratios, aspect ratios, and tail fin types, fighter jets can achieve better flight performance. This has significant implications for enhancing national defense capabilities, promoting military technological progress, and fostering economic development.

Spatio-temporal evaluation of ecological security of cultivated land in China based on DPSIR-entropy weight TOPSIS model and analysis of obstacle factors

Cultivated land’s ecological security ensures human well-being and is critical to global food security. However, the unchecked expansion and excessive exploitation of agricultural resources have led to considerable land degradation issues in China, including soil erosion, contamination, and environmental degradation, raising concerns over the cultivated land ecological security (CLES). Current research on cultivated land (CLES is relatively limited, particularly at the national level across different provinces. In addition, a unified and comprehensive CLES evaluation index system has yet to be formed. To fill this research gap, we construct a CLES evaluation system with 35 indicators from three dimensions of “society-natural-economy” based on the DPSIR model framework and entropy weight TOPSIS model. Simultaneously, we conducted a spatial–temporal analysis of CLES in 31 provinces of China from 2012 to 2021 and applied the obstacle degree model to analyze the main factors impeding the CLES in China. The results showed that: (1) During the study period, the CLES and its subsystems showed a good development trend. Spatially, the CLES in China presents a regional difference of “high in the east and low in the west” and a significant regional difference among provinces. (2) The spatial CLES in different provinces of China presents a significant positive correlation, and the spatial clustering effect of CLES is gradually strengthening. The “High-High” clusters are mainly distributed in the northeast and eastern regions, while the “Low-Low” clusters are mainly located in the western region. (3) From the perspective of the criterion level, the state subsystem and the impact subsystem are the main obstacles hindering the improvement of CLES in China. At the indicator level, the common obstacle factors affecting the enhancement of CLES across provinces in China include soil erosion control intensity, number of green food certifications, per capita agricultural loans, per capita cultivated land area, and per capita grain production. Our research results can provide practical policy reference for further improving the ecological protection of cultivated land.

Evaluation of Water Resources Carrying Capacity in Shandong Province Based on Entropy Weight TOPSIS Model

In order to scientifically evaluate the water resources carrying capacity of Shandong Province, this paper constructs an evaluation framework of nine key indicators, including water supply coefficient and per capita GDP, from three dimensions: hydrological resource status, economic and social development level and ecological environmental protection. Then, the entropy weight method combined with TOPSIS model was used to carry out in-depth analysis and quantitative evaluation of Shandong's water resources carrying capacity. The results show that: from 2015 to 2020, the water resources carrying capacity of Shandong Province first increased steadily, then decreased slightly, and then continued to rise sharply. From 2015 to 2020, the water resources carrying capacity of Shandong Province was always in a state of shortage; In the future work, we should pay more attention to the balanced development of economic and social development level and carrying capacity, and continue to strengthen the management of water-saving and planned water use, so as to achieve sustainable use of water resources.

Coupling Coordination of Multi-Dimensional Urbanization and Ecological Security in Karst Landscapes: A Case Study of the Yunnan–Guizhou Region, China

Globally, karst regions face the dual challenges of urbanization and ecological protection, with the coupling coordination of multi-dimensional urbanization (MDU) and ecological security (ECS) being a necessary condition for achieving sustainable development. This study, based on statistical data on MDU and ECS in the Yunnan–Guizhou Region (the YGR) in China, employs the entropy weight TOPSIS model, degree of coupling coordination (CCD) model, and panel Tobit regression model to explore the coupling relationship between MDU and ECS. The main conclusions are as follows. (1) MDU in the YGR increased from 0.299 to 0.305, indicating low-level and sluggish development. Spatially, it is characterized by a “dual-core” structure centered on Kunming and Guiyang. (2) ECS decreased from 0.456 to 0.423, with a spatial pattern of “high in the east, low in the west”. The impact of human activities on ECS increased from 0.579 to 0.631 due to the increase in social and economic activities. (3) CCD increased to 0.579, achieving moderate coordination. The spatial feature evolved into a tri-cluster pattern of “high–low–high” across the “eastern–central–northwestern” regions. (4) Regression results indicate that annual average precipitation has a “both promoting and limiting” dual effect on CCD. The coefficient for the proportion of afforested land area is 0.205, with a significance level of 5%, suggesting that increasing forest cover is a key measure for improving CCD. The study reveals the factors influencing the evolution of MDU and ECS from a negative to a positive correlation, providing a basis for decisions related to sustainable development for urban and ecological management in karst landscapes globally.

Evaluation of Carbon Neutrality Capacity of Regional Construction Industry Based on the Entropy Weight TOPSIS Model

This study examines the overall needs of the green construction scheme with ‘carbon neutrality’ as the centre in the Zhejiang provincial green development target area. By aggregating and organising the construction and development data of Zhejiang Province, the entropy weight TOPSIS model is formed according to the statistical modelling for quantitative examination of the data, and the scientific assessment scheme of ‘carbon neutrality’ in the regional construction industry of Zhejiang Province is developed. This study aids in completely exhibiting and dynamically understanding the advancement of the ‘carbon neutral’ capacity of the urban construction industry. The objective is to discover the weak link in the advancement of carbon neutrality in several regional construction industries, which is of great relevance for further examining and forecasting the strategic outlook of carbon neutrality and modifying the planning of carbon neutrality strategy in special regional construction industries.

Research on Measuring the Development Level of Rural Revitalization in China Based on Entropy Weighted TOPSIS Model Analysis

In the report to the Nineteenth National Congress, General Secretary Xi Jinping proposed the concept of rural revitalization for the first time, and pointed out the general requirements of Thriving businesses, Pleasant living environment, Social etiquette and civility, Effective governance, and Prosperity . Comprehensively promoting rural revitalization is of great significance in achieving coordinated development of urban and rural areas, promoting economic development, and narrowing the gap between urban and rural areas. This paper establishes a rural revitalization evaluation index system based on the development status of rural revitalization in China from 2012 to 2021, and evaluates the overall level and development trend of rural revitalization in China by using the entropy weight TOPSIS model.

A Comparison of the Validity of Online Courses Quality Evaluation Models

The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor analysis and entropy weight TOPSIS multi-attribute decision analysis methods to comprehensively evaluate 541 courses. Later on, we conducted correlation and regression analyses between the evaluation results of these two methods and that of experts. The results reveal that the comprehensive evaluation scores derived from both factor analysis and entropy weight TOPSIS models exhibit a significant positive correlation with the experts'. Furthermore, the factor analysis model outperforms the entropy weight TOPSIS model in predicting experts' evaluation scores. The application of this model will help achieve timely and accurate course evaluation, and provide novel idea and approach for real-time monitoring of online courses quality.

Spatial-temporal evolution and influencing factors of green urbanization in the Northern Slope Economic Belt of Tianshan Mountains, China

Green urbanization (GU) is an urban sustainable development model. However, the conceptual definition of GU has not been clearly unified and there is limited quantitative research on it. This study constructed a theoretical framework and evaluation system of GU for the Northern Slope Economic Belt of Tianshan Mountains (NSEBTM). By using entropy weight TOPSIS model, contribution analysis and fixed effects panel model, we studied the spatial-temporal evolution and influencing factors of GU in the region. The results indicated that GU improved from 2005 to 2020 with an average annual growth rate of 1.25%, which decreased from middle to both sides with high-level cities spreading outward from Urumqi City. Technological innovation, environmental regulation and financial support played a positive role in GU, while industrialization, education security and population density hindered it. In addition, the effects of influencing factors on different subsystems and development stages of GU were heterogeneous. This study is beneficial for identifying the existing problems of GU and its subsystems in the NSEBTM, to further accelerate the transformation of urbanization through feasible technological innovation, environmental regulation and financial support.

Evaluation of water resources carrying capacity in China based on entropy weight TOPSIS model

Water resources carrying capacity refers to the ability of the water resources ecosystem to continuously carry the coordination relationship between human society and economy in the normal development process of a country or a region. Its self-sustaining ability, self-regulation and self-development potential often hinder sustainable development in water shortage areas. Research on water resources’ carrying capacity is a meaningful way to support regional water resources security and realize harmonious development of society, economy, and ecological environment. Correct assessment of water carrying capacity and response to government policies will contribute to improved water use and sustainable economic and social development. This study first sorts out the relevant questionnaires of water resources carrying capacity level evaluation, proposes the evaluation indicators of water resources carrying capacity level, collects and standardizes the required data, and calculates the weight of each evaluation index by entropy weight method. Then, it calculates the comprehensive evaluation value of China’s water resources carrying capacity from 2012 to 2022 in the TOPSIS model. The results show that the total afforestation area, total investment in environmental pollution control, and total industrial wastewater discharge are the third most important factors in improving the carrying capacity of water resources. From 2003 to 2010, China’s water resources carrying capacity improved year by year. From 2011 to 2021, China’s water resources carrying capacity remained stable year by year. The continuous adjustment of China’s industrial structure and strengthening environmental pollution control are inevitable measures to improve the carrying capacity of China’s water resources. This study provides a scientific basis for exploring the changing trend of China’s water resources carrying capacity and formulating reasonable optimal allocation of water resources. It also has great significance for promoting China’s water resources’ carrying capacity and sustainable development of the social economy and ecological environment.

Research on the Construction and Measurement of Digital Governance Level System of County Rural Areas in China—Empirical Analysis Based on Entropy Weight TOPSIS Model

Rural digital governance is an inevitable requirement to improve the efficiency of rural governance, and is also an important means to realize the modernization of rural governance. In the context of the digital rural development strategy, the index measurement system of the rural digital governance level is built around the five key governance areas of “digital economy, digital ecology, digital culture, digital people’s livelihood, and digital government affairs”. The entropy weight TOPSIS model is used to measure and evaluate the level of rural digital governance in 31 provinces in China in 2021. The results show that there is a large gap in the level of digital governance in China’s counties and villages, and the level of each region presents a decreasing spatial distribution from “east-middle-west”. In terms of digital economy, the eastern region has a high score and good development, while the central and western regions have poor development. In terms of digital ecology, only the eastern region is higher than the national average; In terms of digital culture, only the central region is higher than the national average; In terms of digital livelihood and digital government, the central and eastern regions are slightly higher than the national average; The top three provinces in overall scores are Zhejiang, Guangdong, and Jiangsu.

Relationships among six urban air pollutants and identification of pollution types – A case study of Chinese cities above prefecture level

Urban air pollution is caused by the interplay of urban development and natural conditions, but it's unclear which factor has a greater impact. Studying the link between air pollutants and identifying the types of pollution causes is crucial for understanding the pollution mechanisms and formulating efficient management measures. During the research period from 2015 to 2020, this study analyzed the relationships between six air pollutants, calculated the city capacity (CC) and natural condition (NC) scores of 285 cities with the help of the index system and entropy weight TOPSIS model, and employed Gaussian Mixture Model (GMM) and random forest regression model to identify air pollution types. The results show: During the study period, the concentrations of most pollutants decreased, with SO2 experiencing the largest decline, reflecting the significant effectiveness of China's recent atmospheric pollution control efforts. In terms of spatial distribution, the North China Plain (NCP) and the Loess Plateau (LP) remain focal areas of pollution. The correlation analysis results indicate a significant positive correlation among all air pollutants except O3, underscoring the necessity of coordinated pollution control efforts, but the complexity of O3 pollution should not be overlooked. High-value agglomerations of CC scores calculated by the model are predominantly located in the eastern coastal region, while NC scores exhibit two high-value agglomerations in the north and south. Utilizing the GMM, the 285 cities were classified into three categories, and the random forest regression model was employed to identify them as CC dominate, NC dominate, and intermediate types. This paper proposes a novel approach for categorizing city air pollution types, aiming to tailor prevention measures and foster sustainable urban development.

Research on Establishing Inbound Strategies for Supermarkets Based on Time Series and Multi-Objective Planning Models

This paper focuses on the pricing and replenishment decision problems for vegetable products in supermarkets. Pricing and replenishment decisions need to study the interconnections between categories and individual products, so as to make reasonable sales combinations; it also needs to study the correlation between sales volume and time, and predict the future purchase price and sales volume, through visual analysis and correlation analysis, multiple regression model, reveals the interconnections between categories and individual products, and combines the correlation between sales volume and time to predict the future price and sales volume, and developed a profit-maximizing replenishment pricing strategy. For each vegetable category, a multi-objective planning mathematical model was developed using multiple regression and time series models to determine the optimal total daily replenishment and time-of-day pricing strategies. At the individual item level, the entropy weight TOPSIS model was used to comprehensively evaluate and rank the individual items, and the top 33 individual items were selected as the target for stocking, and a multi-objective model was further established to develop the replenishment quantity and pricing strategy for July 1, 2023 for individual items. By focusing on verifying the impact of market price trends, this paper conducts a time series forecasting analysis by analyzing the relevant sales data of a large superstore in order to comprehensively optimize the superstore's vegetable selling strategy.

The spatial-temporal evolution and driving mechanism of Urban resilience in the Yellow River Basin cities

The rapid urbanization poses the potential risk of overload and collapse for cities. Addressing the problems brought about by rapid urbanization to ensure urban safety and sustainable development has become particularly urgent and crucial, especially for regions with high ecological vulnerability and weak economic foundations. This study utilizes panel data spanning from 2013 to 2020 and applies the entropy weight-TOPSIS model to assess the urban resilience of 54 cities within the Yellow River Basin. It explores the temporal evolution, spatial distribution, and dynamics of urban resilience. Further, through the application of the Geographically and Temporally Weighted Regression model, the research investigates the drivers of urban resilience, considering temporal and spatial variations. Findings indicate a consistent increase in urban resilience across the Yellow River Basin, albeit with widening regional disparities. The spatial pattern of urban resilience exhibits a gradient decline from downstream to midstream and then upstream. The impact of various factors on urban resilience differs by region, with technological innovation emerging as the most influential. To foster a sustainable future, the Yellow River Basin should prioritize technological innovation, particularly in industrial cities, and advocate for the adoption of green technologies to diminish resource consumption and mitigate environmental pollution.

A comparative analysis of the levels and drivers of regional coordinated development in the Yangtze River Economic Belt and Yellow River Basin, China

Positioned in the era of the transformation of China's primary social contradictions, this study delves into the new connotations of regional coordinated development(RCD) from the perspective of “factors” coordination within the region and constructs an RCD evaluation system from five subsystems of regional economic coordination(REC), urban-rural coordination(URC), economic and social coordination(EASC), resource and environmental coordination(RAEC), and material and spiritual civilization coordination(MASCC). Then, the Entropy weight-TOPSIS model is used to evaluate the RCD levels of the 19 provinces located in the Yangtze River Economic Belt(YREB) and Yellow River Basin(YRB) from 2010 to 2019, and the two-way fixed-effects model is employed to illustrate the driving mechanisms of various influencing factors on the RCD in YRB and YREB. The results show that:(1)the RCD levels of YRB and YREB show a fluctuating upward trend during 2010 and 2019, however, both regions have low RCD levels, as seen by the mean RCD indices for YREB and YRB, which are only 0.433 and 0.309, respectively. (2) The RCD level of YREB is higher than that of YEB. In 2019, the “coordinated” provinces in YRB and YREB account for 37.50% and 81.82% of the total number of provinces in the basins, respectively, the “uncoordinated” and “low coordinated” provinces all located in YRB. (3) The RCD of YRB and YREB is significantly improved by REC, URC and RAEC, but not significantly positively by MASCC or EASC, and insufficient development of MASCC is the main contradiction limiting the increase in the RCD level of YRB, while the low level of EASC has become the main obstacle limiting the RCD of YREB. (4)Finally, based on the varying impact degrees and directions of different influencing factors on the RCD in YRB and YREB, the recommendations to promote RCD are proposed.

Effects of Soluble Organic Fertilizer Combined with Inorganic Fertilizer on Greenhouse Tomatoes with Different Irrigation Techniques

A reasonable fertilization rate and appropriate irrigation technology can lead to the green development of greenhouse tomatoes. The purpose of this study was to explore suitable irrigation technology for greenhouse tomatoes and the appropriate application rate of the soluble organic fertilizer and inorganic fertilizer combination. In 2021 and 2022, the effects of different irrigation techniques and fertilization treatments on tomato plant growth, fruit quality, yield, and efficiency were studied. The irrigation techniques in this study were drip and Moistube irrigation, and there were seven types of fertilization treatment, namely, no fertilization treatment (CK); low-volume (T1, 330 kg/hm2), medium-volume (T2, 660 kg/hm2), and high-volume inorganic fertilizer treatments (T3, 990 kg/hm2); and three inorganic fertilizer treatments of low-volume inorganic fertilizer (T1, 330 kg/hm2) combined with low-volume (F1, T1 + 75 kg/hm2), medium-volume (F2, T1 + 225 kg/hm2), and high-volume (F3, T1 + 375 kg/hm2) organic fertilizer. A total of 14 experimental treatments were implemented for irrigation and fertilization. The results of the two-year experiment show that the growth effect on the height, stem diameter, and leaf area index of tomato plants was the best using the treatment of low-concentration inorganic fertilizer combined with medium-concentration organic fertilizer with Moistube irrigation and drip irrigation. Using the two irrigation methods, the application of soluble organic fertilizer increased the yield and improved the fruit quality of the tomato. The maximum yield increased by 28.52%, the soluble sugar content increased by 14.49%, the vitamin C content increased by 45.04%, and the lycopene increased by 18.79%. The entropy-weight TOPSIS model was used to comprehensively evaluate 14 evaluation objects with different irrigation methods and fertilization treatments. The results of the two-year experiment show that the best fertilization treatment under Moistube irrigation and drip irrigation conditions was low-concentration inorganic fertilizer combined with medium-concentration soluble organic fertilizer, which was combined with the best fertilization treatment, and the most suitable irrigation method for greenhouse tomato cultivation in the Loess Plateau was Moistube irrigation. The results of this study also provide practical experience and theoretical support for adaptive irrigation and the integrated management of water and fertilizer.

Spatio-Temporal Evaluation of Water Resources System Resilience and Identification of Its Driving Factors in the Yellow River Basin

Water resources are crucial for the development of ecosystems and humanity. The Yellow River Basin (YRB), as an important ecological area in China, is facing significant challenges in ecological protection and high-quality development due to global climate change and intense human activities. In order to alleviate the water resources crisis in the YRB, it is necessary to calculate the resilience of the water resources system and identify the main influencing factors. This paper considered the factors of water resources, social economy, and ecological environment, then constructed an evaluation framework of the water resources system resilience (WRSR) from three aspects: resistance, restoration, and adaptability. Taking nine provinces along the YRB as a case study, the WRSR was measured by using the entropy weight TOPSIS model, and its driving factors were analyzed with Geographical Detectors (GD). The results showed that: (1) From 2010 to 2022, the WRSR in the Yellow River Basin and various provinces was showing a fluctuating increasing trend, in which Ningxia had the highest average WRSR (0.646), while Shanxi had the lowest (0.168). (2) From three dimensions, the development trends of resistance, restoration, and adaptability in the YRB and various provinces from 2010 to 2022 were relatively stable. Shandong’s resistance level far exceeded that of other provinces, having the highest average resistance value (0.692), and Ningxia had the highest average value of restoration (0.827) and adaptability (0.711). However, Gansu had the lowest average value of resistance (0.119), Sichuan had the lowest average value of restoration (0.097), and Shandong had the lowest average value of adaptability (0.110). (3) In terms of impact factors, the development and utilization rate of water resources (C13) and the development and utilization rate of surface water resources (C14) in the restoration subsystem consistently ranked in the top two of influencing factors. Similarly, the water consumption per 10,000 yuan of GDP (C26) in the adaptability subsystem consistently ranked within the top ten. On the other hand, the natural population growth rate (C6) in the resistance subsystem, as well as the impact of ammonia nitrogen emissions (C9) and total precipitation (C2) in wastewater, exhibited an upward trend. Based on these, this paper provides relevant suggestions for improving the WRSR in the YRB.

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model