Fuzzy Matter-element Method Research Articles

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.

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.

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.

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.

Health Status Evaluation of Catenary Based on Normal Fuzzy Matter-Element and Game Theory

At present, there is no unified standard for the health status evaluation of electrified railway catenary in China. The current catenary evaluation model only considers quantitative detection indicators, without qualitative indicators such as weather, which is one-sided to some extent. Thus, an improved catenary status evaluation model is constructed with both quantitative indicators and qualitative indicators. In this evaluation model, the normal fuzzy matter-element method is used to determine the correlation value of each grade, and the weighted average principle is used to re-determine the status grade of catenary when the maximum correlation principle fails. Meanwhile, entropy weight method and particle swarm optimization algorithm to optimize analytic hierarchy process method are combined to improve the shortcomings of single weight method, and game theory is used to determine the subjective and objective weight coefficients, so as to reduce the influence of subjective experience. Select a Chinese railway catenary in 2018 as an example for verification analysis, the results show that the model constructed in this paper can effectively help professionals to make correct judgments on the health status of catenary, and provide a new idea and method for the comprehensive evaluation of the catenary operation status, which has certain practicability.

Integration of Fuzzy Matter-Element Method and 3D-QSAR Model for Generation of Environmentally Friendly Quinolone Derivatives.

The environmental pollution of quinolone antibiotics (QAs) has caused rising public concern due to their widespread usage. In this study, Gaussian 09 software was used to obtain the infrared spectral intensity (IRI) and ultraviolet spectral intensity (UVI) of 24 QAs based on the Density Functional Theory (DFT). Rather than using two single-factor inputs, a fuzzy matter-element method was selected to calculate the combined effects of infrared and ultraviolet spectra (CI). The Comparative Molecular Field Analysis (CoMFA) was then used to construct a three-dimensional quantitative structure–activity relationship (3D-QSAR) with QAs’ molecular structure as the independent variable and CI as the dependent variable. Using marbofloxacin and levofloxacin as target molecules, the molecular design of 87 QA derivatives was carried out. The developed models were further used to determine the stability, functionality (genetic toxicity), and the environmental effects (bioaccumulation, biodegradability) of these designed QA derivatives. Results indicated that all QA derivatives are stable in the environment with their IRI, UVI, and CI enhanced. Meanwhile, the genetic toxicity of the 87 QA derivatives increased by varying degrees (0.24%–29.01%), among which the bioaccumulation and biodegradability of 43 QA derivatives were within the acceptable range. Through integration of fuzzy matter-element method and 3D-QSAR, this study advanced the QAs research with the enhanced CI and helped to generate the proposed environmentally friendly quinolone derivatives so as to aid the management of this class of antibiotics.

Energy Efficiency Evaluation of Industrial Heat Exchangers Based on Fuzzy Matter Element Method

According to the energy consumption status of industrial heat exchanger in the whole life cycle, the energy efficiency evaluation index system of industrial heat exchanger is put forward firstly. Secondly, aiming at the complexity and fuzziness of energy consumption of industrial heat exchanger, the energy efficiency evaluation model of industrial heat exchanger based on fuzzy matter-element method is established by using fuzzy matter-element theory and combining the concept of Hemingway schedule. Finally, taking the shell-and-tube heat exchanger as an example, five shell-and-tube heat exchangers with different designs and materials were selected to analyze their energy consumption advantages and disadvantages. Via calculation and analysis, the optimal energy efficiency design of the shell-and-tube heat exchanger was obtained. At the same time, reference opinions were provided for the design and manufacture of the shell-and-tube heat exchanger.

Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model.

In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM). The method was applied to evaluate water quality of five monitor stations along Caoqiao River in Yixing city, Jiangsu Province, China. The levels of river water quality were determined according to fuzzy closeness degree. Compared with the traditional evaluation methods, the IFME method has several characteristics as follows: (i) weights were determined by the VCM method, which can reduce workload and overcome the adverse effects of abnormal values, (ii) membership degrees were defined by SPA, which can utilize monitored data more scientifically and comprehensively, and (iii) IFME is more suitable for seriously polluted rivers. Overall, these findings reinforce the notion that an integrated approach is essential for attaining scientific and objective assessment of river water quality.

Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method.

Lung cancer as one of the major causes of cancer mortality has been demonstrated to be closely related to the ambient atmospheric environment, but little has been done in the synthetic evaluation of the linkage between cancer mortality and combined impact of ambient air pollution and meteorological conditions. The present study determined the environmental suitability for female lung cancer mortality associated with air contaminants and meteorological variables. A novel fuzzy matter-element method was applied to identify the spatial distribution and regions for the environmental suitability for the female lung cancer mortality across China in 2013. The membership functions between the cancer mortality and 6 environmental factors, including PM2.5, NO2, SO2, PM10, the annual mean wind speed, and mean temperature, were generated and the weights of each of the environmental factors were established by the maximum entropy (MaxEnt) model. We categorized the environmental suitability combined with GIS spatial analysis into three zones, including low-suitable, medium-suitable, and high-suitable region where the cancer mortality ranging from low to high rate was identified. These three zones were quantified by the MaxEnt model taking different air pollutants and meteorological variables into consideration. We identified that NO2 was a most significant factor among the 6 environmental factors with the weight of 24.88%, followed by the annual mean wind speed, SO2, and PM2.5. The high-suitable area, mainly in the North China Plain which is a most heavily contaminated region by air pollution in China, covers 1.6195 million square kilometers, accounting for 17.85% of the total area investigated in this study. Identification of the impact of various environmental factors on cancer mortality in the different suitable area provides a scientific basis for the environmental management, risk assessment, and lung cancer control.

Research on Construction Safety Risk Assessment of New Subway Station Close‐Attached Undercrossing the Existing Operating Station

With the large‐scale construction of urban rail transit, it will lead to the intersection and transfer of various lines, resulting in more transfer stations. The transfer station is a collection point for multiple subway lines, which is difficult to construct and has a high construction risk. The construction of the new subway station and the operation of the existing subway station are mutually influenced during the close‐attached undercrossing construction. Considering the two objectives of ensuring the smooth operation of the existing subway station and the safe construction of the new subway station, this paper comprehensively analyzes the possible safety risk factors during the construction of the new subway station close‐attached undercrossing the existing operating station and identifies 75 preliminary risk factors by means of literature review and on‐site investigation. Then the Delphi Method and Entropy Weight Method are used to screen the preliminary risk factors, and the main risk factors with greater influence are retained, so that 49 key risk factors are obtained. According to the list of key risk factors, a safety risk assessment index system including 2 first‐level indexes, 12 second‐level indexes, and 49 third‐level indexes is established. Based on the index system, this paper establishes a safety risk assessment model by using Analytic Hierarchy Process (AHP) and Fuzzy Matter Element Method (FMEM). The model first calculates the weight of each index by using AHP, calculates the comprehensive correlation degree of each index by using FMEM, classifies the risk grade of each index according to the comprehensive correlation degree, and determines the risk grade of the project. Finally, the safety risk assessment model is applied to the Dongdalu Station project of Chengdu Rail Transit Line 8. The result shows that the risk grade of this project is moderate risk, which is basically consistent with the actual situation, indicating that the model has good practicability. In this paper, a new safety risk assessment model for subway close‐attached undercrossing construction is proposed, which fills the gap in the field of safety risk assessment for the construction of the new subway station close‐attached undercrossing the existing operating station.

Analysis of urban logistics capability based on fuzzy matter-element quantitative model

An index system of logistics capability analysis in Shenzhen was established, and the fuzzy matter-element quantitative model for urban logistics capability analysis was established based on entropy evaluation method and fuzzy matter-element method. The change process of urban logistics capacity in Shenzhen in 2007~2016 was obtained through the model solution. In result, the overall logistics capacity of Shenzhen had been increasing gradually in 2007~2016, and the logistics capability of all the first level indexes had been increasing and the capacity of the existing logistics scale had increased most rapidly. The results are consistent with the present situation, which provides a scientific basis for the relevant departments to formulate the logistics and economic development strategies.

Optimization of the Fuzzy Matter Element Method for Predicting Species Suitability Distribution Based on Environmental Data

Over the years, with the efforts of many researchers, the field of species distribution model (SDM) has been well explored. The model of fuzzy matter elements (FME), which, combined with GIS to predict species distribution, has received extensive attention since its emergence. Based on previous studies, this paper improved FME, extended the scope of the membership degree and habitat suitability index, and explored the unsuitable areas of species. We have enhanced the limitation effect of key variables on species habitats, making the operation of FME more consistent with biological laws. By optimizing the FME, it could avoid the accumulation of predicted errors with multi-variables, and make the predicted results more reasonable. In this study, Gynostemma pentaphyllum (Thunb.) Makino was used as an example. The experimental process used several major environmental variables (climate, soil, and terrain variables) to predict the habitat suitability distribution of G. pentaphyllum in China for its current and future period, which includes the period of 2050s (average for 2041–2060) and 2070s (average for 2061–2080) under representative concentration pathways 4.5 (RCP4.5). The results of the analysis showed that the model performed well with a high accuracy by reducing the redundancy of the environmental data. The study could relieve the reliance on a large database of environmental information and propose a new approach for protecting the G. pentaphyllum in unsuitable areas under climate change.

The evaluation of urban human settlements based on fuzzy matter-element model: taking 11 prefecture-level cities in Jiangxi Province as examples

A case study is presented in which the fuzzy matter-element model (FMEM) is used to assess the evaluation of urban human settlements (UHS) of the basin of the 11 prefecture-level cities in Jiangxi Province. The regional samples and evaluation standards are all treated as the matter-element, and the compound fuzzy matter-element is constructed with the evaluation indicators and the corresponding fuzzy values of the indicators. Then the Euclid approach degree of the evaluated fuzzy matter-element to the standard fuzzy matter-element is calculated, thus attaining the grade classification of human settlements of the evaluated samples. The study results show that the fuzzy matter-element method is practical for comprehensive evaluation of regional human settlements.

Factor and trend analysis of total-loss marine casualty using a fuzzy matter element method

World shipping activities are operated in a complex and risky environment. The global marine casualty governance and shipping safety problems are issues of common concern of all maritime countries. Total-loss marine casualties are the nightmares and the most serious shipping accidents to the world, which may cause huge economic losses, the loss of lives, and severe marine environmental pollution. This study develops a fuzzy matter element method to analyse the main contributing factors of world total-loss marine casualty, the evolution trend of the total losses caused by different contributors is also evaluated with the proposed models. In this paper, according to the practice of the world shipping industry, we firstly select ten main contributors of the world shipping total losses, and the evaluation framework and mathematical models are established based on fuzzy matter element theory. Then the paper introduces the detailed evaluation procedures and methods. Finally, we select the historical data of world total-loss marine casualty from 2001 to 2015 for an empirical study of the proposed models, verifying practicability and validity of the method introduced in this paper. The results of this study are beneficial to government departments and policy makers in proposing reasonable and effective strategy to control and prevent the total-loss marine casualty in world shipping industry.