Matter-element Method Research Articles

A Comprehensive Evaluation Method for Generalized Reliability of CNC Machine Tools Based on Improved Entropy-Weighted Extensible Matter-Element Method

A Comprehensive Evaluation Method for Generalized Reliability of CNC Machine Tools Based on Improved Entropy-Weighted Extensible Matter-Element Method

Traffic Safety Evaluation of Downstream Intersections on Urban Expressways Based on Analytical Hierarchy Process–Matter-Element Method

This study aimed to explore the traffic safety evaluation model for downstream intersections of urban expressway exits and make up for the shortcomings in safety research on downstream intersections of urban expressway exits. We constructed a comprehensive traffic safety evaluation index system, established a traffic safety evaluation model, and divided precise safety evaluation levels using the AHP–Matter-Element analysis method, establishing a traffic safety evaluation index system consisting of eleven indicators. The effectiveness of this method was validated through an assessment of traffic safety at the intersection of Dongsheng Street and Free Road in Changchun City. A theoretical basis for improving traffic safety at downstream intersections of urban expressways and a reference for subsequent related research were provided.

Comprehensive evaluation of digital village development in the context of rural revitalization: A case study from Jiangxi Province of China.

Digital rural construction is a key strategic direction to promote China's rural revitalization and alleviate global climate problems. In order to put forward feasible suggestions for the subsequent development and ensure the smooth development of digital village construction, how to reflect the development level of the digital village through scientific and reasonable comprehensive evaluation has become an urgent problem to be solved. This paper establishes a comprehensive evaluation index system through the Delphi method and principal component analysis method, then assigns weights to the evaluation indicators based on the improved CRITIC-G1 method, and then grades the development level of digital villages according to the extension matter element method. Finally, taking Jiangxi Province in China as an example, the overall development level of digital villages in Jiangxi Province is evaluated from the provincial level according to the proposed method. And put forward the corresponding countermeasures and suggestions. Results: Firstly, the development level of digital villages in Jiangxi Province is good, and there is a trend of excellent development level. Secondly, from different aspects of digital rural development, the digitalization of infrastructure, services, economy, and green production in Jiangxi Province is at a good level, and the digitalization of life has reached an excellent level. Thirdly, from the perspective of development trends, the digitization of infrastructure has a progressive trend towards an excellent level of development, while the digitization of services, economy and green production has signs of development regression. According to the analysis results, the relevant countermeasures and suggestions are put forward from four aspects: talent, capital, governance system and development planning. Other regions can evaluate the development level of the digital village according to the evaluation model proposed in this paper so as to analyze the existing problems and put forward targeted solutions to promote the construction of the digital village.

Comprehensive Evaluation of Visual Guiding Systems for Enhancing Traffic Safety in Freeway Tunnels: An Improved Matter-Element Method with Case Study

Provision of visual guiding facilities to improve traffic safety is in disarray. This paper proposes a comprehensive system for evaluating the effectiveness of visual guiding facilities in freeway tunnels. Aimed at addressing the current problems, this paper presents an evaluation system based on three key factors: spatial right-of-way, driving human factors, and driving performance. To evaluate the proposed system, data were collected in tunnels under varying conditions during daytime and nighttime, before and after improvement. The evaluation system categorized spatial right-of-way into lateral, longitudinal, and vertical aspects, which mainly depend on the installation of visual guiding facilities. Driving human factors were evaluated based on visual performance, and the installation method of visual facilities focused on sight distance, sight zone, and visual load. Driving performance was also evaluated by considering vehicle operational characteristics, including the maintaining of speed, distance, and lane. The results demonstrated a considerable improvement in the evaluation level of the visual guiding system, achieving Level B compared with traditional improvement schemes during both daytime and nighttime scenarios. This evaluation system could be a valuable guide for managing and designing traffic engineering in tunnels.

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.”

Sustainability evaluation of green building construction based on a combination method of weighting and improved matter-element extension

<p>In light of the pressing global challenges related to greenhouse gas emissions from the construction industry, current evaluation systems for green building construction sustainability remain limited, often overlooking sustainability domains. This study innovatively established an evaluation framework by exploring five critical domains: environmental sustainability, economic benefits, socio-cultural impacts, technological innovation, and health and well-being. Sixteen key evaluation indicators were identified using the Delphi method, with the novel inclusion of a carbon emission reduction target achievement indicator, thereby promoting the goal of carbon neutrality in green buildings. To determine a more reasonable weight distribution, this paper combined the fuzzy analytic hierarchy process (fuzzy AHP) with the entropy weight method. Additionally, the study employed a fuzzy matter-element method enhanced by genetic algorithms for precise evaluation of green building construction sustainability. The feasibility and effectiveness of the proposed model were validated through an empirical analysis of a green building project in Beijing. The results of this research provide innovative theoretical references and practical guidelines for green building construction sustainability evaluation.</p>

Study on quantitative estimation method of energy saving and emission reduction of renewable energy system based on fuzzy matter-element method

The quantitative estimation method of energy saving and emission reduction of renewable energy system based on fuzzy matter-element method is studied, which provides reliable basis for the popularization and use of renewable energy system in practical work. Through quantitative estimation, a scientific evaluation index system and evaluation model can be established, transforming abstract and subjective concepts of energy conservation and emission reduction into concrete and objective numerical indicators. These indicators can reflect the energy-saving and emission reduction effects of renewable energy systems, making the evaluation results scientific, comparable, and traceable. The quantitative estimation index system of energy saving and emission reduction of renewable energy system and the index judgment standard are constructed, which are mainly composed of resource utilization, energy consumption and environmental pollution. On this basis, the fuzzy matter-element quantitative estimation model of energy saving and emission reduction of renewable energy system is established based on fuzzy matter-element and entropy weight theory, and the weight of energy saving and emission reduction index of renewable energy system is determined based on information entropy, and the energy saving and emission reduction effect of renewable energy system is comprehensively and quantitatively estimated with closeness as a reliable basis and reference. The experimental results show that this method can quantitatively evaluate the energy-saving and emission reduction effects of renewable energy systems, and it is feasible to comprehensively and quantitatively evaluate the energy-saving and emission reduction effects of renewable energy systems, with a maximum emission reduction of 99%. It can provide reliable reference for the energy-saving and emission reduction of renewable energy systems.

A study on a blockchain-based waste classification management model and the effect evaluation of the model based on the entropy matter-element method

A study on a blockchain-based waste classification management model and the effect evaluation of the model based on the entropy matter-element method

Evaluating the Service Capacity of Port-Centric Intermodal Transshipment Hub

Port-centric intermodal transshipment hubs are significant nodes in the global freight network and are likewise the gateway to a country’s external communications. It is vital to increase the service capacity of PCITHs, and it is necessary to assess the service capacity of port-centric intermodal transshipment hubs to respond to the growth of economies and global freight needs. This study provides a detailed definition of port-centric intermodal transshipment hubs through a review of relevant kinds of works from the literature and analyzes their primary functions. Based on the research perspective of sea–rail intermodal transportation, the three evaluation dimensions of service capacity of port-centric intermodal transshipment hubs are divided into radiation scale capacity, transportation connection capacity, and resource integration capacity, focusing on the functions of cargo aggregation, cargo transfer, and connection of different transportation modes. The service capacity evaluation indicators were then selected based on the three dimensions. The subjective and objective weightings were calculated by the G1 weighting method and the modified CRITIC method, and the combination weightings were determined based on game theory. The service capability of port-centric intermodal transshipment hubs was evaluated by the fuzzy matter element method, and the evaluation results were quantified by the Euclidean closeness degree. Finally, through the barrier degree model, the current indicators of PCITHs that urgently need improvement were explored, and targeted improvement suggestions are proposed in this paper. The results show that Tianjin Port has the highest service capacity, followed by Ningbo Zhoushan Port. The port rail dedicated line mileage is the most critical area that needs attention in Ningbo Zhoushan Port and Qingdao Port. Tianjin Port needs to improve the container sea–rail transportation volume, while Guangzhou Port and Xiamen Port need to improve the sea–rail container handling capacity.

Risk assessment of complex footbridge based on Dempster–Shafer evidence theory using Fuzzy matter–element method

Owing to the landscapes of cities and the requirements of subchannels, the construction of large-span footbridges is complex and extremely risky. These risks may lead to the collapse of a footbridge during construction, resulting in casualties and other catastrophic consequences, delays in projects and significant property losses, and potential safety hazards during follow-up maintenance. At present, China’s urban footbridge construction has not been included in the overall urban construction category, and its risk assessment is static and temporary, mainly relying on the subjective judgment of experts and construction personnel, and the different cases are difficult to learn from each other. To address this issue, a new risk assessment method and a novel system quality management framework are proposed herein. In this system, real-time engineering quality data under 4M1E (Man, Method, Material, Machine, Environment) framework is used to replace traditional risk factors. An improved Dempster–Shafer theory is adopted to effectively combine heterogeneous data from the 4M1E framework and calculate the dynamic total risk index. Finally, the proposed method is verified. The research results show that the new system can predict the risk level of each stage of bridge construction objectively and effectively by using real-time monitoring data, and has high robustness in different project testing.

Study on Comprehensive Efficiency Evaluation of Farmland Irrigation Water Based on Compound Fuzzy Mathematical Model

China’s water resources are extremely scarce. Statistics show that agricultural water consumption accounts for more than 60% of the total water consumption in the country every year, and farmland irrigation water accounts for the largest proportion, accounting for about 90% of agricultural water consumption. It can be seen that irrigation water is the key to water saving. Taking the south of Jiangsu Province as the research background, this paper constructs an evaluation index system of farmland irrigation water use efficiency from four dimensions of water consumption level, irrigation water saving, water use efficiency and water production efficiency. A method based on complex fuzzy matter-element method is proposed to evaluate the benefits of farmland irrigation water. Taking the irrigation water for rice crops in southern Jiangsu as a case, the entropy value and weight are calculated by entropy weight method, and the evaluation results of the benefits of rice water use over the years are calculated by Euclidean closeness degree. This conclusion can provide decision support for rational allocation of farmland irrigation water, efficient utilization of water resources and comprehensive reform of agricultural water price.

Reservoir Permeability Prediction Based on Analogy and Machine Learning Methods: Field Cases in DLG Block of Jing’an Oilfield, China

Abstract Reservoir permeability, generally determined by experimental or well testing methods, is an essential parameter in the oil and gas field development. In this paper, we present a novel analogy and machine learning method to predict reservoir permeability. Firstly, the core test and production data of other 24 blocks (analog blocks) are counted according to the DLG block (target block) of Jing’an Oilfield, and the permeability analogy parameters including porosity, shale content, reservoir thickness, oil saturation, liquid production, and production pressure difference are optimized by Pearson and principal component analysis. Then, the fuzzy matter element method is used to calculate the similarity between the target block and analog blocks. According to the similarity calculation results, reservoir permeability of DLG block is predicted by reservoir engineering method (the relationship between core permeability and porosity of QK-D7 in similar blocks) and machine learning method (random forest, gradient boosting decision tree, light gradient boosting machine, and categorical boosting). By comparing the prediction accuracy of the two methods through the evaluation index determination coefficient (R2) and root mean square error (RMSE), the CatBoost model has higher accuracy in predicting reservoir permeability, with R2 of 0.951 and RMSE of 0.139. Finally, the CatBoost model is selected to predict reservoir permeability of 121 oil wells in the DLG block. This work uses simple logging and production data to quickly and accurately predict reservoir permeability without coring and testing. At the same time, the prediction results are well applied to the formulation of DLG block development technology strategy, which provides a new idea for the application of machine learning to predict oilfield parameters.

Comparative study on the gastrointestinal- and immune- regulation functions of Hedysari Radix Praeparata Cum Melle and Astragali Radix Praeparata cum Melle in rats with spleen-qi deficiency, based on fuzzy matter-element analysis

Context Hedysari Radix Praeparata Cum Melle (HRPCM) and Astragali Radix Praeparata Cum Melle (ARPCM) are used interchangeably in clinics to treat spleen-qi deficiency (SQD) symptom mainly including gastrointestinal dysfunction and decreased immunity, which has unknown differences in efficacy. Objective To investigate the differences between HRPCM and ARPCM on intervening gastrointestinal- and immune-function with SQD syndrome. Materials and methods After the SQD model was established, the Sprague–Dawley (SD) rats were randomly divided into nine groups (n = 10): normal; model; Bu-Zhong-Yi-Qi Pills; 18.9, 12.6 and 6.3 g/kg dose groups of HRPCM and ARPCM. Gastrointestinal function including d-xylose, gastrin, amylase vasoactive intestinal peptide, motilin, pepsin, H+/K+-ATPase, Na+/K+-ATPase, sodium-glucose cotransporter 1 (SGLT1), glucose transporter 2 (GLUT2) and immune function including spleen and thymus index, blood routine, interleukin (IL)-2, IL-6, interferon-γ (IFN-γ), tumour necrosis factor-α (TNF-α), immunoglobulin (Ig) M, IgA, IgG and delayed-type hypersensitivity (DTH) were detected. Finally, the efficacy differences were analysed comprehensively by the fuzzy matter-element method. Results In regulating immune, the doses differences in efficacy between HRPCM and ARPCM showed in the high-dose (18.9 g/kg), but there were no differences in the middle- and low- dose (12.6 and 6.3 g/kg); the efficacy differences were primarily reflected in levels of IL-6, IFN-γ, TNF-α and IgM in serum, and the mRNA expression of IL-6 and IFN-γ in the spleen. In regulating gastrointestinal, the efficacy differences were primarily reflected in the levels of D-xylose, MTL, and GAS in serum, and the mRNA and protein expression of SGLT1 and GLUT2 in jejunum and ileum. Discussion and conclusions HRPCM is more effective than ARPCM on regulating gastrointestinal function and immune function with SQD syndrome. Therefore, we propose that HRPCM should be mainly used to treat SQD syndrome in the future.

Evaluation of greenness of green buildings based on carbon emissions

PurposeThe purpose of this paper is to evaluate green buildings from the angle of greenness and improve the evaluation system. And the matter-element extension method is used to evaluate the greenness of green buildings, in order to provide useful references for the evaluation system of green buildings.Design/methodology/approachFirst, this paper studies the aspects of safety and durability, health and comfort, living convenience, resource-saving, environmental liability and ecological quality, etc. For the first time, carbon emission is included in the evaluation system, 18 key evaluation indexes are determined by using the Delphi method, and the green building evaluation index system is established. Then, the combined weight method is proposed to determine the weight of each evaluation index, and the greenness evaluation model of green building is established with the matter-element extension method. Finally, taking Beijing Daxing International Airport as an example, the evaluation model of green building greenness was established to evaluate the building.FindingsIn this paper, the greenness evaluation model of green building established by the matter-element extension method solves the problem of incompatibility between qualitative and quantitative material elements in multi-factor evaluation. It makes the evaluation indexes more accurate and objective relative to the affiliation calculation of the evaluation set and improves the scientific, accuracy and reliability of the evaluation model.Originality/valueIn this paper, for the first time, carbon emission-related indicators are included in the green building evaluation system, which makes the evaluation system more perfect. In addition, a more scientific extension matter-element method is used to evaluate the greenness of green buildings, breaking the previous rough star evaluation method.

Application of Fuzzy Matter Element Analysis to the Evaluation of Circulation Efficiency of Agricultural Products

This article builds an evaluation indicator system based on the process of agricultural circulation and the balance of many-sided benefits. A new classification of indicator types was made from the perspective of benefit balance, and gross profit margin and inventory-sales ratio were classified as interval indicators, which enriched the indicator types. The matter-element analysis method is used to measure the circulation efficiency of agricultural product wholesale markets. The study found that in terms of geographical location, in the vertical direction of Aihui-Tengchong Line, the closer to the southeast, the higher the circulation efficiency; Since 2016, the overall circulation efficiency has almost stagnated, mainly because the wholesale industry has strengthened its ability to control upstream and downstream relationships, and the entry barriers of agricultural products have been continuously increased.

Decision-Making on Reuse Modes of Abandoned Coal Mine Industrial Sites in Beijing Based on Environment-Economy-Society Matter-Element Models

Redevelopment of abandoned coal mine industrial sites (ACMISs) has been one of the critical research topics in recent years. The ecological system of ACMISs, which involves environmental, economic, and social characteristics, is an environment-economy-society (EES) composite system. Many factors with conflicting effects are involved in the sustainable development of this system. The matter-element analysis method presented in this paper can transform counteracting problems among influencing factors into compatible problems. This analytical approach leads to a reduction of the uncertainty of these influencing factors and provides a suitable research method to solve the complexity when selecting the most suitable reuse mode of the ACMIS. In this study, eight state-owned ACMISs in the suburbs of Beijing were investigated, and a suitability evaluation index system based on the EES conceptual framework was built. Targeting four reuse modes, including the residential area, the park, the scientific research and office campus, and the business district, we established a matter-element decision-making model to evaluate the priority of reuse mode selections scientifically. The results of our calculations show that the optimal reuse mode for the Qianjuntai, Muchengjian, and Huapogen ACMISs is the park; for the Da’anshan and Changgouyu ACMISs is the business district; for the Datai ACMIS is the scientific research and office campus; and for the Wangping ACMIS is the residential area. Since the suitability level of reusing the Anjiatan ACMIS in any of the four reuse modes is relatively low, it is recommended to reserve it for governmental strategically reserved open space. These real cases demonstrate that the research method is feasible and can be applied to reuse mode decisions for similar abandoned coal mines.

The Decision of an Eco-Friendly Reservoir Operation Scheme Based on a Variable Set

The river ecosystem has the characteristics of the coexistence of clarity and ambiguity. The starting point of eco-friendly reservoir operation is to fully consider the ecological water requirements of the lower reaches of the reservoir, so it also has the characteristics of clarity and vagueness. The fuzzy theory is an excellent tool to realize the quantification of fuzzy concepts. In this paper, the variable set theory (VS) is introduced into the decision-making field of eco-friendly reservoir scheduling scheme optimization. Taking Ertan Hydropower Station as an example, the scheduling scheme optimization is carried out. To verify the effectiveness of the evaluation method, this paper compares and analyzes the evaluation results of the fuzzy set evaluation method and the composite fuzzy matter-element method. The results show that the variable fuzzy set method has the advantages of rigorous theory, a concise model, and simple calculation, and the decision result is reasonable and reliable. This research can provide new ideas for the decision-making research of engineering.

Tanker Selection Based on an Entropy-Weighted Fuzzy Matter Approach

As an important aspect of global economic development, the choice of ship type for offshore oil transportation is a key issue in shipping companies making investment decisions. These can have far-reaching impacts regarding economic benefits and operational developments by shipping companies. To facilitate relatively accurate scientific decisions to evaluate the economic nature of tankers on investment plans, the study assigns entropy weights to various indicators and models tanker type economic arguments based on the entropy-weighted fuzzy matter-element approach, and by calculating the Euclid approach degree of each tanker evaluates the choice of tanker ship type. The results from the study show that the entropy-weighted fuzzy matter-element method is very effective in dealing with tanker selection and decision-making under complex and multi-attribute scenarios. Several conclusions are drawn and further work suggested.

The state evaluation method of distribution switch cabinet based on improved matter-element extension

In this paper, a matter-element extenics method is adopted to combine the information of each layer and each eigenvalue, so as to realize the evaluation of the current state of switch cabinet. The calculation of correlation degree is improved in the traditional matter-element extenics method. And the actual evaluation effect is optimized. This paper illustrates the evaluation process with practical examples, and compares the current evaluation results with the actual status of switch cabinets and the evaluation results obtained by traditional matter-element extension method. They proved the advance and effectiveness of the proposed method.

中国水资源-能源-粮食-支撑系统安全测度及协调发展

探索我国水资源-能源-粮食-支撑系统安全及时空演变规律，有利于促进中国水资源-能源-粮食-经济社会-管理维护的可持续发展。采用模糊物元法和耦合协调度模型，借助ArcGIS空间分析及核密度和基尼系数、变异系数，对我国31个省、市、自治区2004-2017年水资源-能源-粮食-经济社会-管理维护安全水平及耦合协调度进行测算及时空对比分析。结果表明：①时间上，我国安全测度指数总体呈上升趋势；空间上，我国安全测度水平除青海、西藏外普遍较好；②各子系统情况：经济社会子系统增长较快、水资源子系统水平较差、粮食安全指数变差、能源子系统分化现象显著、管理维护小幅度提升；③我国安全测度协调度2004年0.170提高至2017年0.348，总体呈上升趋势；④安全测度协调度的空间演化基本可以分为上升型、下降型、平滑型和波动型四类，以波动型居多。;In order to promote the sustainable development of water resources-energy-food-support system security in China, we explore security of water resources-energy-food and its spatio-temporal development regularity in China. In this paper, the fuzzy matter-element method and the coupling coordination degree model are used to calculate and analyze the water resources-energy-food ecological security level and coupling coordination degree of 31 provinces, cities and autonomous regions in China from 2004 to 2017 by using ArcGIS spatial analysis, core density, Gini coefficient and variation coefficient. The results showed that:① in terms of time, security index of China was on the rise; in terms of space, China's security index level was generally good except Qinghai and Tibet. ② The economic and social subsystem grew rapidly, the level of water resources subsystem and the index of food security were poor. The energy subsystem is differentiated significantly and small improvement in management and maintenance.③ The coordination degree of security in China increased from 0.170 in 2004 to 0.348 in 2017, showing an overall upward trend. ④ The spatial evolution of the coordination degree of security could be divided into four types:ascending type, descending type, smooth type, and undulating type.