Entropy Weight Method Research Articles

Effect of UV radiation on asphalt functional groups through FTIR and entropy weight method

Ultraviolet (UV) ageing is an important factor that affects the service performance of asphalt pavement. However, transformation of the functional groups of asphalt under UV radiation remains to be studied as the ageing mechanism of asphalt could be better understood by studying its functional groups. In this study, asphalt was aged using three wavelength bands of UV light. The changes in the characteristic functional groups of the asphalt before and after UV treatment were analysed using Fourier transform infrared spectroscopy. The entropy weight method was used to calculate the counts of interconversion. The results showed that the carbonyl index of asphalt increased after UV ageing, while the methylene, aromatic, aliphatic and sulfoxide indices decreased. After the asphalt was aged by UV light, the C–C, C–H and C=C bonds in the asphalt material were converted into C=O and S=O bonds were converted into sulfur dioxide. The results of this work could be used to simulate asphalt molecules in order to better understand the performance and properties of asphalt.

Distributed Task Allocation Algorithm for Heterogeneous UAV Cluster Based on Game Theory

This paper proposes a distributed task allocation algorithm based on game theory to solve the complex task allocation optimization problem when UAV clusters carry heterogeneous resources and tasks have heterogeneous demands. Considering the heterogeneity of resources, two pre-processing methods are proposed: one is the grouping algorithm that combines greedy algorithm with simulated annealing algorithm, and the other is the improved K-medoids clustering algorithm based on heterogeneous resources. These pre-process methods, through grouping and clustering, can reduce the complexity of task allocation. The entropy weight method is utilized to prioritize tasks based on multiple metrics. Considering task demands, airborne resources and path cost, a coalition formation game model is established, which is proved to be a potential game. Then a distributed task allocation algorithm based on coalition formation game is designed to address the task allocation problem. Finally, the simulation involving 30 tasks with heterogeneous requirements assigned to 100 UAVs validates the effectiveness of the proposed algorithm, showing that it can achieve good task allocation results with great real-time performance.

A novel sharding algorithm based on TOPSIS method for blockchain systems

PurposePerformance optimization algorithms based on node attributes are of great importance for sharding blockchain systems. Currently, existing studies on blockchain sharding algorithms consider only random selection sharding strategies. However, the random selection strategy does not perfectly utilize the performance of a node to break the bottleneck of blockchain performance.Design/methodology/approachThis paper proposes a blockchain sharding algorithm called TOPSIS Optimization Sharding System (TOSS), which is based on entropy weight method, relative Euclidean distance and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It defines a multi-attribute matrix to assess node performance and applies TOPSIS for scoring nodes. Then, an algorithm based on the TOPSIS method is proposed to calculate the performance score of each data node. In addition, an entropy weighting method is introduced to obtain the weights of each attribute to balance the impact of dimensional differences of attributes on the attribute weights. Nodes are ranked by composite scores to guide partitioning.FindingsThe effectiveness of the proposed algorithm in this paper is verified by comparing it with various comparative algorithms. The experimental results show that the TOSS algorithm outperforms the comparison algorithms in terms of performance improvement for the blockchain system, and the throughput metrics are improved by about 20% in comparison.Originality/valueThis study introduces a novel approach to blockchain sharding by incorporating the entropy weight method and relative Euclidean distance TOPSIS into the sharding process. This approach allows for a more effective utilization of node performance attributes, leading to significant improvements in system throughput and overall performance, addressing the limitations of the random selection strategy commonly used in existing algorithms.

Optimization of working parameters of high-pressure roller mill based on entropy weight method and response surface method.

In order to improve the crushing efficiency of high-pressure roller mill and reduce energy consumption, the optimal parameter combination of high-pressure roller mill is sought, GM160-140 high-pressure roller mill is taken as the research object, and the discrete element simulation calculation model of high-pressure roller mill is established to simulate the crushing process. Taking the roll surface pressure, productivity, and the proportion of discharge particle diameter as the performance evaluation indexes, the simulation data are used to analyze the influence of each working condition parameter of the high-pressure roller mill on its performance law. Through the entropy weighting method to determine the weights of high-pressure roller mill productivity, roll surface pressure, the proportion of discharge particle diameter, and through the extreme difference analysis to get the optimal parameter combination. Minitab software is used to carry out the response surface method (RSM) experimental design, the optimal parameter combinations are derived from the optimization using the response surface apparatus, the optimal parameter combinations derived from the two optimization methods are compared and analyzed, and ultimately it is concluded that the optimization of the response surface is the global optimal, and the optimal parameter combinations are as follows: the roller speed is 2.50rad/s, the roller gap is 28.87mm, and the feed size is 31.97mm, Under the above optimal parameters, the roll surface pressure is 150450.00N, the productivity is 1268.00t/h, the percentage of the material less than 6mm is 58.14%, so as to achieve the purpose of optimizing the parameters of the high-pressure roller mill, It is of significance to save resources and respond to the national green development and intelligent development.

Ancient Text Translation Model Optimized with GujiBERT and Entropy-SkipBERT

To cope with the challenges posed by the complex linguistic structure and lexical polysemy in ancient texts, this study proposes a two-stage translation model. First, we combine GujiBERT, GCN, and LSTM to categorize ancient texts into historical and non-historical categories. This categorization lays the foundation for the subsequent translation task. To improve the efficiency of word vector generation and reduce the limitations of the traditional Word2Vec model, we integrated the entropy weight method in the hopping lattice training process and spliced the word vectors with GujiBERT. This improved method improves the efficiency of word vector generation and enhances the model’s ability to accurately represent lexical polysemy and grammatical structure in ancient documents through dependency weighting. In training the translation model, we used a different dataset for each text category, significantly improving the translation accuracy. Experimental results show that our categorization model improves the accuracy by 5% compared to GujiBERT. In contrast, the Entropy-SkipBERT improves the BLEU scores by 0.7 and 0.4 on historical and non-historical datasets. Ultimately, the proposed two-stage model improves the BLEU scores by 2.7 over the baseline model.

Economic Decentralization and High-Quality Urban Development: Perspective from Local Effect and Spatial Spillover in 276 Prefecture-Level Cities in China

The advancement of high-quality urban development is of paramount importance for the enhancement of sustainable development and competitiveness at the city level. The economic decentralization system represents a pivotal institutional driving force in this regard. This paper examines the impact of decentralization on the high-quality development of Chinese cities. It constructs the high-quality urban development index (HUDI) through the entropy weight method and analyzes the mechanisms and spatial correlations between fiscal and financial decentralization on the high-quality development of cities through the establishment of panel and spatial regression models. The findings indicate that fiscal and financial decentralization exert a positive influence on urban high-quality development. However, the two forms of decentralization do not exhibit synergies but rather exert an inhibitory effect on one another. Furthermore, decentralization has a considerable positive spatial spillover effect on urban high-quality development. Heterogeneity analyses demonstrate that the impact of the economic decentralization system varies across different regions, reform periods, and cities with varying administrative levels. The robustness test of this paper provides further evidence of the reliability of the research findings. This paper offers theoretical support and policy recommendations for optimizing economic decentralization systems and promoting high-quality urban development.

Quantitative Analysis of the Evolution of Production–Living–Ecological Space in Traditional Villages: A Comparative Study of Rural Areas in Tibet

Since the introduction of the rural revitalization strategy by the 19th National Congress of the Communist Party of China in 2017, there have been significant transformations in the production–living–ecological space (PLES) within villages. Evaluating and enhancing villages’ PLES are crucial for fostering sustainable development. Therefore, this study utilized a multi-scale environmental assessment model and mathematical approach to conduct horizontal and vertical nested correlation analyses of indicators at different levels through a path analysis, a Spearman correlation analysis, a variance analysis, the entropy weight method, data simulation, and other methods to establish a “three-dimensional” comprehensive evaluation system for traditional village PLES. The findings indicate the following: (1) The ecological space of traditional villages in Tibet significantly impacts the overall environment of the PLES, with the components’ impact ranked as follows: ecological space > production space > living space. Furthermore, industry and tourism resources show a significant positive correlation with traditional villages’ PLES; (2) There are no significant differences in natural environmental factors, such as air relative humidity, temperature, humidity index, and wind efficiency index among traditional villages in neighboring cities in Tibet. However, they all possess profound ecological and cultural heritage; (3) There are notable disparities in living space between traditional villages in Lhasa and Nyingchi, indicating unbalanced development. It is evident that traditional village construction should not only focus on the development of certain PLES but also pay attention to the balanced development of the overall spatial environment. This study holds great significance for enhancing the living environment of traditional villages in Tibet and promoting sustainable development through protection efforts in these villages.

Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of FI7 Strike-Slip Fault Zone

As the main method of secondary development, water injection has been widely used in fractured vuggy carbonate reservoirs. By using an evaluation index system combined with an integrated approach to objectively evaluate and support targeted and operational adjustments of water injection development effects in fractured vuggy carbonate reservoirs, a comprehensive evaluation method is established in this study. The CRITIC method is used as the main approach, and the analytic hierarchy process, the entropy weight method, and the coefficient of variation method are used as sub-methods. Additionally, the clustering centres are divided using the clustering method to reduce the error caused by the irrational distribution of the relevant evaluation index data. The method is used to evaluate and analyse the effects of water injection development, using the FI7 fault zone of the Halahatang oilfield as an example. The application results show that the evaluation method is feasible and effective for cases with small data volume, fewer computational resources, and less time. This study has a certain reference significance for the evaluation of the effect of water injection development in similar fractured vuggy reservoirs.

An innovative approach to post-occupancy evaluation of architectural heritages in the Peking-Mukden railway

AbstractThe architectural heritages of the Peking-Mukden Railway has witnessed the industrialization of China. When it no longer serves its original function, finding a new way for reuse becomes a trend. It requires feedback from reused cases to guide decision-making. This article aims to propose an approach to post-occupancy evaluation of architectural heritages in the Peking-Mukden Railway and apply it to real cases for analysis. The evaluation indicator system used here consists of a hierarchical structure, evaluation indicators, and interpretation indicators. Cosine similarity, entropy weight method, and precedence chart method are utilized to determine final weights. The GRA-TOPSIS method is utilized to identify reuse cases that require additional optimization. The conclusions are as follows: 1. The cosine similarity can be introduced to neutralize individual preferences. The entropy weight method can be used to neutralize subjective factors. 2. Based on the analysis of the sensitivity levels, indicators that need to be improved first can be identified. Priority should be given to spatial accessibility and cultural transmission when making adjustments with limited resources. 3. The GRA-TOPSIS evaluation method can be used to rank and find reuse cases that need further optimization.

PSSN: a novel cache placement method based on adapted Shannon entropy and simple additive weighting method in named data networking

PSSN: a novel cache placement method based on adapted Shannon entropy and simple additive weighting method in named data networking

Spatiotemporal Variations and Driving Factors of Ecological Sensitivity in the West Qinling Mountains, China, Under the Optimal Scale

This study selected the five indicators of soil erosion, climate environment, geological hazards, biodiversity, and human disturbances and uses the entropy weight method to calculate the ecological sensitivity of the West Qinling Mountains from 2000 to 2020. The analysis produced a spatiotemporal distribution of ecological sensitivity over the 20-year period. An equal step size of 500 m was used to progressively increase the spatial scale from 500 m to 6 km. The optimal scale for the spatial differentiation of ecological sensitivity in the West Qinling Mountains was determined by analyzing the characteristics of changes at different scales, response mechanisms, and optimal parameters for geographical detector spatial scale identification. Based on this scale, the change in intensity and pattern and the influencing factors of ecological sensitivity were analyzed. The results show the following: (1) The 5.5 km spatial scale balances the requirements of accuracy, spatial heterogeneity, and data adequacy, making it the optimal scale for analyzing the spatiotemporal variation patterns of ecological sensitivity in the West Qinling Mountains. (2) From 2000 to 2020, the mean ecological sensitivity in the West Qinling Mountains exhibited a decreasing trend, indicating an improvement in the ecological environment. Spatially, the ecological sensitivity of the West Qinling Mountains showed a spatial distribution pattern of “low in the west and high in the east, low in the south and high in the north”. During the study period, the ecological sensitivity in the West Qinling region remained generally stable, with no high-frequency changes observed. (3) Population density is the primary driving factor of spatial differentiation of ecological sensitivity in the West Qinling Mountains, while GDP serves as a secondary factor. Overall, socioeconomic factors have the most significant impact on ecological sensitivity. (4) Over 75% of the ecological sensitivity trends exhibit patterns of perennial unchanged and fluctuating unchanged trends, with areas of fluctuating increase smaller than areas of fluctuating decrease. Regions of perennial high sensitivity are primarily concentrated in the northeastern part of the West Qinling Mountains, while areas with increased fluctuation in ecological sensitivity are mainly located in the western and southern parts of the West Qinling Mountains. Future efforts should focus on these regions.

The impact of regional emergency logistics response capacity on sustainable economic growth in China

To assess the impact of China’s regional emergency logistics response capabilities on economic growth sustainability, this study develops a set of comprehensive indicators. It applies the entropy weight method combined with the TOPSIS method to evaluate these capabilities across regions. Based on panel data from 30 provinces in China from 2012 to 2021, this study employs panel models, panel quantile regression, and panel threshold models to analyze the impact of emergency logistics response capability on sustainable economic growth. By measuring the regional emergency logistics response capability and examining its effects on the sustainability of economic growth, this research provides foreign investors with a clearer understanding of the ability of different regions in China to handle unexpected public incidents. This, in turn, helps reduce investment uncertainty, mitigate certain risks, and offers valuable insights for enhancing the efficiency of international investments in China. Key findings are: (1) Since 2018, the establishment of the Ministry of Emergency Management has significantly improved China’s regional emergency logistics capabilities, with the eastern region outperforming the central and western regions. (2) Enhancing China’s emergency logistics response capability helps improve the sustainability level of economic growth. This reflects how China’s emergency management departments can mitigate the adverse impacts of public emergencies on economic growth by transforming social logistics into emergency logistics. (3) As emergency response capabilities have strengthened, their impact on economic sustainability initially decreased but later increased.

Spatiotemporal differentiation and influencing factors of the degree of resilience coupling coordination in the Beijing–Tianjin–Hebei region, China

Urban agglomeration system resilience involves multiple subsystems that are interconnected and interactive, and exploring the relationships among subsystems can elucidate and increase urban agglomeration resilience. This study constructed a social-economic-built environment resilience model and proposed a social-economic-built environment resilience index system. Using the entropy weight method, the coupling coordination degree (CCD) model, GeoDetector, spatial autocorrelation analysis and the autoregressive integrated moving average model (ARIMA) model, the resilience development level of the Beijing‒Tianjin‒Hebei (BTH) region from 2000 to 2020 was evaluated, the main influencing factors for the spatiotemporal differentiation pattern were identified, and the development levels in 2030 and 2050 were predicted. The results show that (1) high-resilience and high-CCD regions are concentrated in the region of Beijing and Tianjin in the centre, and low-value regions are concentrated in the districts and counties in the west and south; (2) economic elements, especially the economic aggregate status of a region as a whole, are the main factors contributing to the differences in resilience levels between regions, but their influence gradually decreases; and (3) the gap between the CCDs of Beijing, Tianjin and cities in Hebei increased from 2000 to 2020, but this gap is expected to narrow by 2030 and 2050. On this basis, five categories of future development guidelines for cities in the BTH region are proposed.

Long term properties of Nano-engineered temperature self-controlled concrete served for mass concrete structure

Due to the advantages of low-cost and superior electrical conductivity, Nano-carbon black (NCB) can endow hydraulic concrete with long-term and stable self-heating capacities at affordable costs, thus allowing active and intelligent temperature control for high-altitude and high-latitude dams. This study, for the first time, investigated the long-term mechanical behaviors, freeze-thaw resistance and impermeability of temperature self-controlled concrete (TSC). Moreover, the modification mechanisms of TSC were revealed with the help of mercury intrusion porosimetry (MIP), thermogravimetric analysis (TGA) and scanning electron microscope (SEM). Finally, the long-term performance and cost assessment of TSC are comprehensively evaluated by the entropy weight method. The results indicate that the incorporation of 4.5wt% NCB improves the compressive and splitting tensile strengths of TSC at 180 days by 17.4% and 7.9%, respectively, and shows an excellent response against impermeability and a slightly lower response against frost resistance. Besides, NCB accelerates the hydration degree and repairs the interfacial transition zone of TSC. The presence of NCB densifies the microstructures of the matrix and reduces the content of harmful pores by nearly 50%. Finally, TSC with 4.5wt% NCB is the optimal mixture that shows excellent comprehensive performances.

Quantitative assessment and dynamic characteristic measurement of regional resilience: from the perspective of post-earthquakes effects

Strong geological disasters have caused persistent losses in society, economy, and ecological environments. Given the unique geographical settings of the stricken areas, their resilience is prone to damage or even loss. Comprehensive risk assessment of natural disasters is the core content and important foundation for building regional resilience. Therefore, conducting dynamic characteristics analysis of resilience in mountainous disaster areas impacted by strong earthquake geological disasters is vital for ensuring the region's high-quality and sustainable development. This article takes the 51 stricken areas of Wenchuan earthquake as the research object. To this end, social, economic and ecological environmental data from 2008 to 2020 was hereby collected. Initially, a regional resilience assessment system based on "socio-economic-ecological environment" was established, considering the long-term and spatial heterogeneity of geological disasters. Secondly, the regional resilience assessment model was constructed using Spectral clustering-genetic algorithm-improved entropy weight method. Following that, the dynamic characteristics of regional resilience were quantitatively analyzed from two aspects, including change velocity state and change rate trend. Finally, based on the regional resilience characteristics, differentiated resilience enhancement strategies were proposed. Collectively, the results revealed that: (1) From a geological disaster standpoint, the risk in post-earthquake disaster areas exhibited a strikingly rapid decline, with the spatial distribution of geological disaster risk being notably higher in the central areas and diminishing towards the peripheries. (2) Overall, the regional resilience of the 51 stricken areas showed a "V-shaped" trend, with a significant upturn since 2012. (3) From the perspective of dynamic characteristics, more counties (cities) presented an upward trend. (4) The 51 stricken areas were hereby divided into the "benchmarking type", the "declination type", the "backward type", and the "potential type". In conclusion, the current study enhances the technical framework for evaluating regional resilience and provides technical support for the construction of resilient cities.

Anti-Competition and Anti-Corruption Controversies in the European Financial Sector: Examining the Anti-ESG Factors with Entropy Weight and TOPSIS Methods

(1) Background: This research aims to investigate the impact of environmental, social, and governance (ESG) factors on European banking corruption. Thus, its novelty is based on considering anti-competitive concerns as a major component that may considerably impact fraud and bribery in corruption investigations. (2) Methods: To approach the research question, we conducted an examination of anti-competitive practices at 344 financial institutions headquartered in Europe throughout the period 2018 to 2022 using the entropy weight and TOPSIS methods. (3) Results: This study reveals that anti-competitive actions are typified by environmental debate and genuine policy competition. Analysing the results prompted us to reach this conclusion. The present study’s findings reveal that financial institutions in Scandinavian nations demonstrate the most significant anti-competitive activity. (4) Conclusions: This research is the first study to underscore the concept of anti-competition disputes and their impact on the emergence of corruption, extortion, and fraud in the European banking sector. Although anti-competitive and corrupt practices may appear to be distinct concepts, they both lead to the financial sector acquiring disproportionate control over the market.

An Evaluation of Talent Attraction Indicators in Yiwu Based on the Entropy Weight Method and Strategic Recommendations

An Evaluation of Talent Attraction Indicators in Yiwu Based on the Entropy Weight Method and Strategic Recommendations

Evaluating High-Quality Development in the Construction Industry via the Matter–Element Extension Method: A Case Study of 11 Cities in Zhejiang, China

China’s construction industry is facing increasing pressure for transformation and upgrading, with high-quality development becoming an essential goal. However, the precise definition and evaluation criteria for high-quality development remain ambiguous. Against this backdrop, this study focuses on 11 cities in Zhejiang province to explore the connotations of high-quality development in the construction industry and establishes an evaluation index system for assessing it. This study employs the entropy weight method and matter–element extension method to evaluate the high-quality development levels of the construction industry across these cities. The empirical results reveal that the development of the construction industry in Zhejiang province is uneven across cities, with significant potential for overall improvement. This study validates the proposed index system and evaluation model while supplementing empirical evidence; it also enriches the literature and provides both theoretical and technical support for advancing the construction industry’s transition toward high-quality development.

Evaluation and Improvement of Construction Safety for Prefabricated Buildings Under the Concept of Resilience

In the construction of prefabricated buildings, safety issues occur frequently, posing challenges to project progress and personnel safety. As a new trend in the construction industry, the complexity of the environment in prefabricated construction demands an update to traditional safety management concepts. This study introduces the concept of resilience to analyze safety issues in prefabricated construction and develops a WSR-4Rs framework for a systematic evaluation of construction safety. The study first combines the WSR (Wuli-Shili-Renli) systematic methodology with the 4R resilience theory to construct an evaluation index system for construction safety. Then, it uses the Analytic Hierarchy Process (AHP) and the entropy weight method to determine the combined weights of each index, establishing a balanced and objective weighting scheme. A fuzzy comprehensive evaluation model is then applied to assess actual project cases. Finally, an obstacle degree model is introduced to identify key indicator factors that significantly impact construction safety, and specific improvement measures are proposed based on these findings. The aim is to provide practical references and guidance for enhancing the safety management level in prefabricated construction.

A Study on the Impact and Mechanisms of Digital Economy Development on the Formation of New Productive Forces

This study investigates the impact of digital economy development on the formation of new productive forces in Guangdong Province. Utilizing key indicators such as GDP, education, and technology data, the research employs data cleaning and spline interpolation for preprocessing. Hypotheses P1 through P4 were proposed based on literature and regional policies. An evaluation system for new productive forces was established using the entropy weight method. Empirical analysis via STATA software confirmed a significant positive effect of the digital economy on new productive forces, supporting hypothesis P1. Mechanisms including technological breakthroughs, human capital, and industrial transformation were validated, confirming hypotheses P2, P3, and P4. The study highlights the spatial agglomeration effect between digital economy and new productive forces, suggesting mutual enhancement and significant spillover effects across regions.