Combined Weight Research Articles

A sustainability evaluation framework for the urban energy Internet using the Fermatean fuzzy Aczel-Alsina hybrid MCDM method

The evaluation of urban energy internet (UEI) is crucial for the establishment of low-carbon cities. This paper aims to present a hybrid decision-making framework to address UEI evaluation problems from a sustainability perspective. First, the Fermatean fuzzy Aczel-Alsina power aggregation operators are proposed to aggregate evaluation information, and the remarkable properties of these operators are explored. Then, the combined weight of the criteria is determined through the decision-making trial and evaluation laboratory method and the Shannon entropy-based power weighted method within the Fermatean fuzzy circumstance. Moreover, the classic multiobjective optimization by ratio analysis plus the full multiplicative form method is extended using the proposed aggregation operators. Finally, an index system was constructed from a sustainability perspective, and the level of development of the four UEI projects is assessed using the proposed method. The experimental results demonstrate that the proposed method can provide beneficial guidelines for the construction and development of the UEI. Furthermore, the reliability and effectiveness of the proposed decision-making framework are validated through sensitivity analysis and a comparative study with existing MCDM methods.

Optimization of the matching relationship between the stemming length and minimum burden in cut blasting of large-diameter long-hole stopes

Cut blasting, in which new surfaces and relief space for subsequent blasting are created, is one of the most critical steps in the establishment of large-diameter long-hole (LDL) stopes. To reduce the damage to the chamber roof caused by stemming recoil and improve the rock breaking effect, 15 groups of small-scale model tests with minimum burdens of 3, 4, 5, 6, and 7 cm and stemming lengths of 0, 2, 4, 5, 6, and 7 cm were designed to optimize the matching relationship between the stemming length and minimum burden. First, through the model tests, values were obtained for ten evaluation indexes related to the total mass of fragments, crate size, fragment size, fragmentation energy consumption, and stemming recoil area. Then, the normal cloud combination weighting method was used to combine six subjective and objective weighting methods, and combined weights were obtained. Finally, the test schemes were optimized according to the Euclidean distance and similarity. The test results showed that the best blasting scheme involves a burden of 5 cm and a stemming length of 5 cm, followed by that involving a burden of 4 cm and a stemming length of 4 cm, and the optimal stemming length is approximately equal to the minimum burden. A field test of LDL stope cut blasting was conducted, with a stemming length of 2.2 m and a minimum burden of 2.2 m in the boreholes. The highly satisfactory field blasting effect indicates that the stemming length and minimum burden are reasonable.

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM (1,1) model is employed to predict risk values for 2022–2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decision-making recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

Research on the evaluation of ecological environment quality based on Fuzzy and PCA-AHP

Since the natural ecological environment tends to change slowly and the indicators are easy to quantify in a graded manner, while the social ecological environment tends to change rapidly under the intervention of human production and life, and it is difficult to quantify with the same grading standard in different regions and at different times. Therefore, we propose a Fuzzy comprehensive evaluation model for the evaluation of the quality of natural ecological environment and a PCA-AHP comprehensive evaluation model for the evaluation of the quality of social ecological environment. Based on the hierarchical analysis method, 12 indicators were selected from five criteria levels, namely water and soil conservation, ecological stability, water conservation, soil improvement and air purification, and the affiliation degree of each indicator to the set of comments was calculated using the Fuzzy comprehensive evaluation method. Taking the evaluation of ecological and environmental quality of 31 provincial regions in China as an example, 12 indicators were selected from three criterion levels, namely natural conditions, social economy and environmental pollution, and the combined weight values of each indicator were calculated using PCA and AHP, and the final ecological and environmental quality ranking of each province was obtained based on the data of each of the 31 provinces. The two experimental results were highly consistent with the actual expert evaluations, verifying the rationality of the Fuzzy comprehensive evaluation model and the PCA-AHP comprehensive evaluation model.

Reproductive biology of male common dolphins (Delphinus delphis) in New Zealand waters

Reproductive parameters were assessed in 64 male common dolphins (Delphinus delphis) examined post-mortem from strandings and bycatch in New Zealand between 1999 and 2020. The stages of male sexual maturation were assessed using morphological measurements and histological examination of testicular tissue. Age was determined via growth layer groups (GLGs) in teeth. The average age (ASM) and length (LSM) at attainment of sexual maturity were estimated to be 8.8 years and 198.3 cm, respectively. Individual variation in ASM (7.5–10 years) and LSM (190–220 cm) was observed in New Zealand common dolphins. However, on average, sexual maturity was attained at a similar length but at a marginally younger age (< 1 year) in New Zealand compared to populations in the Northern Hemisphere. All testicular variables proved better predictors of sexual maturity compared to demographic variables (age and total body length), with combined testes weight the best outright predictor of sexual maturity. Reproductive seasonality was observed in male common dolphins, with a significant increase in combined testes weight in austral summer. This aligns with most other studied populations, where seasonality in reproduction is typically observed. Given the known anthropogenic impacts on New Zealand common dolphins, we recommend that these findings be used as a baseline from which to monitor population-level changes as part of conservation management efforts.

Optimization algorithms for light pollution management based on TOPSIS-non-linear regularization model

Rapid urbanization and economic development have inevitably led to light pollution. However, currently the world has not yet formed a unified technical standard for light pollution, and light pollution cannot be effectively controlled when the environmental protection department is unable to operate. To effectively solve this problem, this paper establishes a combined weight ideal point method evaluation model based on TOPSIS evaluation method to obtain comprehensive index weights to evaluate the light pollution risk levels of four different land types in urban, suburban, rural and nature reserve areas in Beijing, China, and uses one-way ANOVA to test the differences among the four regions. Based on the Random Forest algorithm to determine the three variables with the top three feature importance weights, and based on the nonlinear optimization algorithm, using the SLSQP method, the optimal parameter combinations with the smallest cost are obtained after iteration, so as to put forward three feasible intervention strategies such as adjusting the design of the nightscape lighting, reducing the time of nonessential lighting, and rationally planning the layout of the city’s lighting, etc., to solve the light pollution problem, which effectively promote the urban nightscape lighting’s it effectively promotes the healthy and sustainable development of urban nightscape lighting.

A cooperative game-based vulnerability assessment method for distribution lines in typhoon weather

Identification and protection of vulnerable lines is the key point of typhoon disaster prevention in distribution networks in coastal areas. This paper proposes a comprehensive lines vulnerability assessment method based on combined weight using cooperative games. Firstly, a distribution line vulnerability evaluation index system is constructed from four aspects: line fault probability, line loss value, line electric betweenness, and line degree. Secondly, the entropy method and CRITIC weight method are used to calculate the weights of each evaluation index in the evaluation system, respectively, and the cooperative game method is used to combine the two weights. Finally, the combined weight is used to evaluate the vulnerability of the line. The power distribution system in a certain area is used for the example simulation, and the key vulnerable lines of the distribution network can be identified, which shows the rationality and effectiveness of the proposed method.

Ranking load in microgrid based on fuzzy analytic hierarchy process and technique for order of preference by similarity to ideal solution algorithm for load shedding problem

&lt;span lang="EN-US"&gt;This paper proposes a method to rank the loads in the microgrid by means of a weight that combines the criteria together in terms of both technical and economic aspects. The fuzzy analytic hierarchy process technique for order of preference by similarity to ideal solution (fuzzy AHP TOPSIS) algorithm is used to calculate this combined weight. The criteria to be considered are load importance factor (LIF), voltage electrical distance (VED) and voltage sensitivity index (VSI). The fuzzy algorithm helps to fuzzy the judgment matrix of the analytic hierarchy process (AHP) method, making it easier to compare objects with each other and remove the uncertainty of the AHP method. The technique for order of preference by similarity to ideal solution (TOPSIS) algorithm is used to normalize the decision matrix, determine the positive and negative ideal solutions to calculate the index of proximity to the ideal solution, and finally rank all the alternatives. The combination of fuzzy AHP and TOPSIS algorithms is the optimal combination for decision making and ranking problems in a multi-criteria environment. The 19-bus microgrid system is applied to calculate and demonstrate the effectiveness of the proposed method.&lt;/span&gt;

Research on the development model of fusion of poetry communication and literary creation based on information fusion technology under the perspective of national fusion

Abstract Under the perspective of national integration, the fusion development of poetry communication and literary creation is flourishing. Through analyzing the characteristics of contemporary poetry dissemination and creation, this paper proposes an innovative model for the fusion development of poetry dissemination and literary creation based on information fusion technology. For poetry dissemination of multi-source information data, random set theory is used for representation, information fusion is performed on the representation results of random sets based on D-S evidence theory, and uncertainty is measured by introducing trust functions and multiple basic probability distribution functions synthesized into one basic trust function through orthogonal sum according to synthesis rules. From the viewpoint of dissemination information sources, news and information websites, video websites, podcasts or audiobooks are called the most important information sources for poetry dissemination, with a combined weight of more than 95%. In the case of poetry literature creation under the integration development mode, the periodicity of the works has significantly improved, with an improvement interval of (18.3% and 27.6%). The dissemination degree also increased effectiveness, with a maximum of 30.7% and a minimum of 21.5%. The development model based on information fusion can open up a new path for the fusion development of contemporary poetry communication and literary creation.

Application of Subjective and Objective Empowerment in Evaluation of ideological and political Distance Learning Online Teaching

INTRODUCTION: Distance network teaching has been widely used in today's informationization era, and it also provides a new teaching mode for ideological and political education. However, evaluating the quality of ideological and political distance network teaching still needs to be solved.&#x0D; OBJECTIVES: To solve the problem of subjective solid dependence in its evaluation, the hierarchical analysis method and entropy weighting method are used to calculate the subjective and objective weights, and the principle of minimum information identification is used to determine the optimal comprehensive consequences of the indicators, taking into account the absolute subjectivity and absolute objectivity brought about by the calculation method of the weights of the hands.&#x0D; METHODS: Considering the incompatibility of grade determination in the evaluation results, the evaluation grade determination of Civics remote network teaching is completed through the table evaluation model, and the table evaluation model of Civics remote network teaching based on the principle of minimum information discrimination with combined weights is finally established, and the application of the model is carried out.&#x0D; RESULTS: The evaluation model is simple and practical and improves the efficiency and operability of comprehensive evaluation.&#x0D; CONCLUSION: Civics remote network teaching will further broaden the sharing and dissemination channels of educational resources and needs to improve the quality and effect of education continuously, and the study has a good application prospect for the evaluation of Civics remote network teaching.

Research on Light Pollution System Based on Innovative Evaluation Method and Particle Swarm Optimization Grey Prediction Method

The control of light pollution is an important part of people's urban health. An accurate index system of quantitative light pollution level is of great significance for controlling light pollution, saving energy, and improving social happiness index. After obtaining the combined weight evaluation model, in order to verify the reliability of the index system in various regions, based on the grey prediction theory, combined with the advantages of PSO algorithm in model accuracy and predictability, the light pollution risk level in Shanghai was evaluated and predicted, and specific intervention strategies for light pollution remediation were proposed.

Core Competency Quantitative Evaluation of Air Traffic Controller in Multi-Post Mode

In order to quantify the core competency of air traffic controllers (ATCO) in multi-post mode, and analyze the ATCO competency-post fit (CPF) degree, this paper proposes the AFE-TOPSIS evaluation method based on the analytic hierarchy process (AHP), factor analysis (FA), and entropy weight method (EWM). Through the analysis of job tasks, it preliminarily develops an evaluation index library of ATCO core competency. Then, it constructs an improved adaptive multi-dimension core competency model divided into four types of post modes. It proposes a method for determining the combined weight of core competency indexes, where the weights are determined subjectively through AHP, combined with the objective method of FA and EWM. Furthermore, it constructs a comprehensive evaluation model based on AFE-TOPSIS and analyzes the CPF degree by calculating the relative closeness degree of each evaluation index. The empirical analysis results show that the four types of core competency models in General, TWR, APP, and ACC post mode include seven dimensions, such as situation awareness, and workload management, which are also graded into the pyramid hierarchical structure of basic, advanced, and high-level. The calculation of the ATCO CPF degree based on the proposed AFE-TOPSIS method can scientifically assist in the fit of ATCO and multi-post mode.

Safety Index, Evaluation Model, and Comprehensive Evaluation Method of Power Information System under Classified Protection 2.0

Aiming at the problems of the low integration of the current power information system security assessment method with classified protection 2.0, strong subjectivity, and the vague quantification of objective indexes, this article proposes to establish a safety index system suitable for the electric power information system with the existing safety inspection standards for power systems on the basis of the classified protection 2.0 evaluation system. Additionally, it quantifies each index through a quantitative method combining subjective and objective methods and uses the analytic hierarchy process entropy method to obtain the combined weight of the evaluation index system. Finally, this paper summarizes the expert scores and the graded protection evaluation reports of the six systems into the original data for comprehensive weight calculation and analyzes the rationality of the weight change. The comparison and analysis of the closeness of the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and the evaluation score of the equal guarantee have confirmed the scientificity and rationality of the evaluation model. It provides a reasonable logical idea for the implementation of the classified protection 2.0 system in the power information system.

A Hybrid Similarity-Based Method for Wind Monitoring System Deployment Optimization Along Urban Railways

Urban railways in coastal areas are exposed to the risk of extreme weather conditions. A cost-effective and robust wind monitoring system, as a vital part of the railway infrastructure, is essential for ensuring safety and efficiency. However, insufficient sensors along urban rail lines may result in failure to detect local strong winds, thus impacting urban rail safety and operational efficiency. This paper proposes a hybrid method based on historical wind speed data analysis to optimize wind monitoring system deployment. The proposed methodology integrates warning similarity and trend similarity with a linear combination and develops a constrained quadratic programming model to determine the combined weights. The methodology is demonstrated and verified based on a real-world case of an urban rail line. The results show that the proposed method outperforms the single similarity-based method and spatial interpolation approach in terms of both evaluation accuracy and robustness. This study provides a practical data-driven tool for urban rail operators to optimize their wind sensor networks with limited data and resources. It can contribute significantly to enhancing railway system operational efficiency and reducing the hazards on rail infrastructures and facilities under strong wind conditions. Additionally, the novel methodology and evaluation framework can be efficiently applied to the monitoring of other extreme weather conditions, further enhancing urban rail safety.

The impact of green taxation on green low-carbon development in Yangtze River Delta region of China-based on mediating effect model and spatial Durbin model.

Promoting green low-carbon development is an important task in the construction of ecological civilization of China. The leadership has proclaimed green low-carbon development as the top national priority for development. Green low-carbon economy has become the high point of global industrial competition. Green taxation, as a tool for environmental regulation, plays an important role in the construction of ecological civilization. Therefore, this paper investigates the impact of green taxation on green low-carbon development in the Yangtze River Delta (YRD) region of China, using data of 41 cities from 2011 to 2021 in the YRD region. We construct a green low-carbon development index with the combined weight CRITIC-entropy method, and employ a mediating effect model and a spatial Durbin model based on double fixed effects in this study, which intends to provide a theoretical basis for the establishment of a sound tax policy system that is conducive to the green low-carbon development. The results show that (1) there is an evident spatial dependence of green low-carbon development in the YRD region; (2) green taxation has a significant positive effect on green low-carbon development through rationalization of industrial structure and advance of industrial structure; and (3) the positive impact of green taxation on green low-carbon development in the region is characterized by spatial spillover and heterogeneity. Specifically, green taxation significantly promotes green low-carbon development in the core area, but such green taxation dividend has yet to be realized in the expansion area.

Evaluation of teaching quality of universities in the context of big data for the cultivation of application-oriented talents

Abstract Exploring the evaluation of the teaching quality of colleges and universities for applied talent cultivation in the context of big data is to be able better to improve the teaching level of colleges and universities. In this paper, the multi-indicator evaluation method is explained, and the commonly used teaching quality evaluation methods, i.e. hierarchical analysis, entropy weight method and gray correlation analysis, are cited. The basic principle of the hierarchical analysis method is given, the initial weight calculation steps of AHP method are illustrated, and the initial weights of AHP method are combined and solved using the entropy weight method. The evaluation principle of the gray correlation analysis method is given, and the combined weights of the AHP-EWM evaluation are illustrated using the gray correlation analysis method. Finally, universities’ teaching quality evaluation indexes for applied talent cultivation were constructed using the AHPEWM evaluation method, and the indexes were mined and analyzed respectively. From the indicators of theoretical literacy and professional research ability, the overall evaluation of the teaching quality of colleges and universities is 92.77% above the C grade. From the indicators of innovation practice and moral quality, the percentages of students’ evaluation of teaching quality in colleges and universities with A, B, C and D grades are 49.02%, 28.6%, 5.12% and 7.25%, respectively. This shows that the evaluation of teaching quality in colleges and universities is multifaceted, and colleges and universities can improve their teaching level according to different evaluation factors.

Optimization of water quality index models using machine learning approaches.

To optimize the water quality index (WQI) assessment model, this study upgraded the parameter weight values and aggregation functions. We determined the combined weights based on machine learning and game theory to improve the accuracy of the models, and proposed new aggregation functions to reduce the uncertainty of the model. A new water quality assessment system was established, and took the Chaobai River Basin as a case study. To optimize the weight, two combined weights were established based on game theory. The weight CWAE was combined by the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). The weight CWAL was combined by AHP and machine learning (LightGBM). CWAL was judged to be an optimal composite weight by comparing the coefficient of variation (CV) values and the Kaiser-Meyer-Olkin (KMO) extracted values. To reduce the uncertainty of the model, we proposed two aggregation functions, the Sinusoidal Weighted Mean (SWM) and the Log-weighted Quadratic Mean (LQM). The three water quality assessment models (WQIS, WQIL and WQIW) were established based on the optimal weights besides. All three models had good reliability. Both WQIS and WQIW models had low eclipsing problems (25.49% and 18.63%). The accuracy of the models was ranked as WQIS > WQIW > WQIL. The uncertainty of WQIs (0.000) in assessing poor water quality was low, and so was WQIW (0.259) in assessing good water quality. Overall, the WQIS model was recommended for assessing poor water quality and the WQIW model was recommended for assessing good water quality. The assessment results of WQIS showed that the Chaobai River Basin was "slightly polluted", and the water quality upstream was better than that downstream. TN was the main pollutant in the basin, and there was slight pollution with CODMn, CODCr, BOD5, etc. There was little metal contamination, only a few months exceeded Class I. The model established in this study can provide a reference for the same type work of water quality assessment. The assessment results can provide a scientific basis for the protection of the regional water environment.

Design of social navigation quality evaluation model based on combined weight

Design of social navigation quality evaluation model based on combined weight

A study on site selection of pumped storage power plants based on C-OWA-AHP and VIKOR-GRA: A case study in China

Pumped storage power plants (PSPP), as an important clean energy technology, have great potential for energy storage and conditioning. However, site selection is the primary issue in PSPP construction, which directly affects its economics, environmental impact and social acceptability. Therefore, this paper aims to conduct an in-depth study of PSPP site selection, taking into account multiple factors such as geology, hydrology, environment and socio-economics, to determine the best site in a scientific and objective manner. In our study, we used the literature review method and Delphi method to determine the index system for PSPP site selection evaluation, calculated the objective and subjective weights of the indexes by C-OWA and AHP, respectively, and used Lagrangian optimization to calculate the combined weights. In addition, the VIKOR-GRA method was used to evaluate and rank the candidate site selection options to determine the best site location, and the robustness of the research results was tested by sensitivity analysis and comparative analysis. The results of the study indicate that within Anhui Province, the Yuexi area of Anqing is considered to be the most promising and advantageous PSPP site location. This study provides scientific and feasible guidance for PSPP site selection, which is important for promoting clean energy development and achieving sustainable energy supply.

MCDM MODEL FOR CRITICAL SELECTION OF BUILDING AND INSULATION MATERIALS FOR OPTIMISING ENERGY USAGE AND ENVIRONMENTAL EFFECT IN PRODUCTION FOCUS

In the context of sustainable buildings, an ecological study of building and insulating materials is critical since it may assist affirm or shift the path of new technology development. Utilising sustainable material is a part of the sustainable improvement. For this reason, material fabrication is the primary process for the energy usage and release of intense environmental gaseous. The fabrication of the insulation and building materials, as in every fabrication process, comprises an energy consumption of crude materials in addition to the pollutants’ release. In buildings, insulation is a relevant technological resolution for cutting energy usage. This study aims to assess the primary energy consumption and the environmental effects of the fabrication of building and thermal isolation materials by using a new hybrid MCDM model. The proposed new hybrid MCDM model includes Fuzzy FUCOM, CCSD and CRADIS methods. While the subjective weights of the criteria were determined with the fuzzy FUCOM method, the objective weights of the criteria were determined with the CCSD method. Construction materials were listed with the CRADIS method. According to the fuzzy FUCOM method, the most important criterion was determined as the CR3 criterion, while the most important criterion according to the CCSD method was determined as the CR1 criterion. According to the combined weights, the most important criterion was determined as the CR3 criterion. According to the CRADIS method, the material with the best performance was determined as Cement Plaster. The methodology used in this study is a novel approach therefore it has not been used in any study before. In addition, since the CRADIS method is a newly developed MCDM method, the number of articles related to this method is low. Therefore, this research gap will be filled with this study.