Multi-level Fuzzy Comprehensive Evaluation Method Research Articles

Optimal intensity measure for seismic performance assessment of shield tunnels in liquefiable and non-liquefiable soils

Relating the ground motion intensity measure (IM) and the structural engineering demand parameter is a crucial step in the performance-based earthquake engineering framework. This study investigates the selection of IM for development of probabilistic seismic demand model of urban shield tunnels subjected to earthquake ground motions in liquefiable and non-liquefiable soils. Nonlinear dynamic effective stress analyses are conducted to develop a database of the intensity measures and structural seismic responses exposed to ground shaking and soil liquefaction. Two advanced soil constitutive models (i.e., Pressure DependMultiYield03 and PressureIndependMultiYield for liquefiable and non-liquefiable soils, respectively) are employed to capture the nonlinear behavior. A suite of 23ground motion intensity measures is selected and assessed based on the evaluation criteria of correlation, efficiency, practicality and proficiency. Eventually, the multi-level fuzzy comprehensive evaluation method is employed to comprehensively consider the four evaluation criteria and establish the optimal ground motion IM suitable for probabilistic seismic demand analysis of shield tunnel structures. The obtained results show that the sustained maximum acceleration is the optimal IM for evaluating the structural seismic response, followed by the peak ground acceleration in both liquefiable and non-liquefiable soils. Peak pseudo velocity spectrum, displacement square integral and Housner spectral intensity are found to be not suitable for the probabilistic seismic demand analysis of shield tunnel structures.

Evaluation of Deep Coalbed Methane Potential and Prediction of Favorable Areas within the Yulin Area, Ordos Basin, Based on a Multi-Level Fuzzy Comprehensive Evaluation Method

The research on the deep coalbed methane (CBM) in the Ordos Basin is mostly concentrated on the eastern margin of the basin. The geological resources of the Benxi Formation in the Yulin area, located in the central-eastern part, cover 15,000 × 108 m3, indicating enormous resource potential. However, the characteristics of the reservoir distribution and the favorable areas are not yet clear. This research comprehensively performed data logging, coal rock experiments, and core observations to identify the geological characteristics of the #8 coal seam, using a multi-level fuzzy mathematics method to evaluate the favorable area. The results indicate the following: (1) The thickness of the #8 coal in the Yulin Block ranges from 2.20 m to 11.37 m, with depths of between 2285.72 m and 3282.98 m, and it is mainly underlain by mudstone; the gas content ranges from 9.74 m3/t to 23.38 m3/t, showing a northwest–low and southeast–high trend. The overall area contains low-permeability reservoirs, with a prevalence of primary structural coal. (2) A multi-level evaluation system for deep CBM was established, dividing the Yulin Block into three types of favorable areas. This block features a wide range of Type I favorable areas, concentrated in the central-eastern, northern, and southwestern parts; Type II areas are closely distributed around the edges of Type I areas. The subsequent development process should prioritize the central-eastern part of the study area. The evaluation system established provides a reference for selecting favorable areas for deep CBM and offers theoretical guidance for targeted exploration and development in the Yulin area.

Comprehensive Ability Evaluation of Cold Chain Emergency Logistics of Anhui Dazhong Company

Cold chain logistics industry is the product of social and economic development, cross-regional transportation demand, is to maintain the low temperature environment as the core requirements, to maintain product quality, reduce product loss for the purpose of the system engineering. Cold chain logistics has high requirements for timeliness, safety, reliability and technical stability. However, China's cold chain logistics started late. In the early stage of development, many enterprises do not have the concept of "cold chain logistics", cold chain facilities and equipment are generally missing and backward, and the development of cold chain logistics is in the stage of resource shortage. This article focuses on the research object of Anhui Dazhong Cold chain Logistics Company, focuses on the company's emergency measures capability, and finds that the emergency logistics capacity of Anhui Dazhong cold chain logistics needs to be upgraded. In recent years, major public health events have occurred frequently, and Volkswagen lacks systematic evaluation in the implementation of emergency measures. According to the above problems, based on the public emergency logistics process management build public company cold chain emergency logistics ability evaluation index system, the hierarchical analysis and entropy method integrated empowerment of evaluation index, and use multi-level fuzzy comprehensive evaluation method for comprehensive evaluation, finally get the public emergency logistics level.

Research on Credit Risk Evaluation of shipping Enterprises based on Fuzzy Comprehensive Evaluation Method

The outbreak of the novel coronavirus has dealt a huge blow to all walks of life in the world, and the shipping industry has also suffered a heavy impact. In the post-COVID-19 era, shipping enterprises should base on the current situation, face risks squarely and actively face the impact of the epidemic. Therefore, it is urgent to establish a set of credit risk evaluation model suitable for shipping enterprises to help them recover better. Based on this background, this paper starts from the current situation of shipping enterprises, combines qualitative and quantitative indicators, analyzes the existing risks and risk causes of shipping enterprises, and builds a multi-level credit risk evaluation system for shipping enterprises. Then, A representative shipping company of China A is selected as a case through the example analysis, which indicates that the multi-level fuzzy comprehensive evaluation method can comprehensively and effectively evaluate the credit risk of shipping enterprises.

A Study on the Evaluation System of Secondary School Students’ Innovative Ability

Purpose - The core of this study is to establish scientific and standard evaluation standards, establish a scientific evaluation system and give full play to the feedback, motivation, and guidance function of education evaluation. Design/Methodology/Approach - Evaluating innovative ability is a complex decision-making problem that adopts improved AHP. The multi-level fuzzy comprehensive evaluation method is used to verify the consistency between the students’ scores of innovation ability and the teachers’ subjective evaluation. Findings - The index of the evaluation system of the innovation ability of innovation education middle school students is determined. The multi-level fuzzy comprehensive evaluation method is used to evaluate students’ innovative abilities according to the evaluation system. Research Implications - The conclusion of this study can be used as a reference for improving students’ innovation ability in innovation education, i. e. it can cultivate students’ innovation ability and optimize innovation education. Constructing the evaluation index system of the innovation ability of middle school students in innovation education can evaluate the students’ innovation ability in the innovation process.

Investigation into effect of non-uniform thermal environment on thermal sensation under stratum ventilation for heating by using interpolation-based multi-level fuzzy comprehensive evaluation

Stratum ventilation for heating is applied to provide satisfactory indoor thermal environments with great potentials in winter. Indoor non-uniform environments are important for both overall and local thermal sensations in the same occupied subzone (i.e., vertical spaces) as well as different subzones of the occupied zone (i.e., horizontal spaces) under the effect of supply air jets. This study carried out field chamber experiments to consider the effect of non-uniform environments on both overall and local thermal sensations under stratum ventilation for heating using the multi-level fuzzy comprehensive evaluation (MFCE) method. This method has a multi-level structure to simultaneously investigate thermal sensation in both vertical spaces and horizontal spaces. The interpolation models of thermal sensation are helpful to enlarge the experimental sample size investigated by MFCE. The results showed that the interpolation-based MFCE method can quantitatively analyze the effect of non-uniform environments on thermal sensation in different subzones of the occupied zone from vertical spaces and horizontal spaces under the effect of supply air parameters. Compared with supply air temperature, supply air velocity has the opposite influence on the variation range of both integrated thermal sensations of feet, head and overall body and local thermal sensation of feet between the occupied subzones 1 and 2. Supply air temperature and velocity of 25–27 °C and no less than 1.1 m/s were recommended to improve the non-uniformity of thermal environments.

Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows.

Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH3, CO2, inhalable particulate matter (PM10)]. Second, the consistency test of the judgment matrix was transformed into a nonlinear constrained optimization problem and solved using the GA. Next, based on fuzzy set theory, the comment set and membership function were established to classify the degree of cold stress into 5 levels: none, mild, moderate, high, and extreme. Then, the degree of cold stress in cows was obtained using multilevel fuzzy comprehensive judgment. To investigate the effect of illumination indicators on cold stress in dairy cows, 24 prelactation cows from the south and north sides were selected for a 117-d comprehensive cold stress evaluation. The results showed that the mean mild cold stress durations were 605.3 h (25.22 d) and 725.5 h (30.23 d) and the moderate cold stress durations were 67.2 h (2.8 d) and 96 h (4.0 d) on the south and north sides, respectively. Simultaneously, generalized linear mixed model showed that there were significant correlations between the daily cold stress duration and milk yield, feeding time, lying time, and active steps in the cows on both sides. This method can reasonably indicate cow cold stress conditions and better guide cold protection practices in actual production.

Influence of furrow irrigation regime on the yield and water consumption indicators of winter wheat based on a multi-level fuzzy comprehensive evaluation.

Irrigation regimes should be chosen to maximize crop yield and water use efficiency. To realize high yield and efficient water use with the appropriate furrow irrigation regime, the effects of two regimes (alternate furrow irrigation and conventional furrow irrigation) and three lower soil moisture limits (60, 70, and 80%) were studied on winter wheat yield and water consumption using a multi-level fuzzy comprehensive evaluation method. The results show that under the two regimes, alternate furrow irrigation and conventional furrow irrigation, when the lower limit of the soil moisture is 70%, the harvest index (0.45 and 0.39, respectively) and crop water productivity of winter wheat (1.86 and 1.90 kg m−3, respectively) are highest. The comprehensive fuzzy evaluation model considers multiple measures, including yield, harvest indices, irrigation volume, total water consumption, and crop water productivity – the index values are highest at the 70% condition, which are 0.3468 and 0.3432, respectively. Therefore, it can be concluded that a moderate water deficit is conducive to saving water resources and improving water use efficiency. In conclusion, a multi-level and multi-factor indices system of furrow irrigation regime was constructed based on ensuring winter wheat production. Conventional furrow irrigation is recommended in areas with sufficient irrigation water, while alternating furrow irrigation, which can reduce the total amount of irrigation required, is suitable for areas with water shortages.

Analysis and Evaluation of Factors Influencing the Low-Carbon Effect of Urban High-Rise Settlement Planning Schemes Based on AHP-Fuzzy Comprehensive Evaluation Method

With the rise of low-carbon concept and the trend of low-carbon planning, the evaluation of low-carbon planning has been paid more and more attention by the academic and planning circles. Carbon evaluation has become a hot topic after “environmental evaluation” and “green evaluation.” In order to promote the important content of energy conservation and sustainable development in the construction of low-carbon cities, this paper constructs and plans the content of low-carbon city planning and construction. On the basis of the effectiveness evaluation index system, this paper discusses the linkage between analytic hierarchy process and fuzzy comprehensive evaluation method and makes a comprehensive quantitative evaluation on the effectiveness of case planning EIA. Combining the advantages of analytic hierarchy process and fuzzy comprehensive evaluation method, the subobjectives and weights of each index are determined by the analytic hierarchy process. The multi-level fuzzy comprehensive evaluation method is used to evaluate the factors that affect the low-carbon effect of urban high-rise residential district planning. This study leads the new trend of future urban construction, and the construction of low-carbon residential areas, as an important part of promoting urban sustainable development, is the core component of future low-carbon urban planning and construction.

FUZZY COMPREHENSIVE EVALUATION OF LAND COVER CLASSIFICATION DATA

Abstract. The demarcation of the evaluation grade of surveying and mapping products is too rigid, and the evaluation results are often distorted due to the abnormality of an evaluation index. This paper takes the land cover classification data quality evaluation as an example and analyses the quality model, which includes quality factors and weight coefficients. In this paper, a multilevel fuzzy comprehensive evaluation method is introduced, a reasonable and efficient membership function is designed, and the evaluation results are evaluated by using the relative index of effectiveness and the probability of a single value distribution. The results show the fuzzy comprehensive evaluation method based on the premise of suitability weighting can make the evaluation results retain rich information, and the evaluation results are more reasonable and the improved fuzzy comprehensive evaluation method can be applied to the quality evaluation of other natural resource surveys and monitoring products.

Regional suitability analysis of the rural biogas power generation industry:A case of China

Biogas power generation has environmental and social benefits; however, its industrialization is lacking in China. Regional suitability for the biogas power generation industry must be assessed to optimize its layout. First, a regional suitability evaluation index system for said industry was constructed, including resource, societal, and economic conditions, and environmental pressures. Next, a multilevel fuzzy comprehensive evaluation method for regional suitability was proposed; 31 provinces (cities) in China were divided into five grades. Finally, according to the matching degree of suitability and development levels, the 31 regions were divided into three categories, while corresponding policy recommendations were proposed. The rank distribution among regions was found to be unbalanced; there were significant differences in the grade evaluation results of each region under the four criteria layers. The eastern region was significantly superior to the western region. Henan and Hebei were the most suitable regions for development, whereas Ningxia, Hainan, Qinghai, and Tibet were not. Moreover, the suitability of the biogas power generation industry in most regions matched the development level, although not in Sichuan or Jiangsu. These results provide a basis for the government to formulate rural biogas power generation policies and promote sustainable development of the industry.

Evaluation of Green Development Level of Electric Energy in Distribution Network Based on Multilevel Fuzzy Comprehensive Evaluation

At present, there are few studies on the comprehensive evaluation of green power grid development in China, and all aspects of green power grid need to be evaluated. Therefore, this paper studies the green development level of power distribution network. This paper proposes a multi-level fuzzy comprehensive evaluation method, which first needs to classify the influencing factors. Therefore, this paper constructs an indicator system for the evaluation of green development of power distribution network from three dimensions. In order to avoid the influence of subjective factors, this paper adopts the model combining analytic hierarchy process and entropy weight method to give weight to indexes. Finally, five typical regions are selected for empirical analysis. The results show that the model established in this paper can reflect the green development level of power distribution network in each region and put forward relevant improvement suggestions for each region.

The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China

In recent years, in order to promote the construction of low-carbon communities (LCCs) in China, many scholars have proposed an evaluation indicator system of LCC. The existing indicator systems are mostly established from the macro perspective of environmental impact and resource conservation, but few are from the micro technical perspective. Thus, the aim of this study is to construct a micro technical evaluation indicator system for LCCs. Firstly, the index system was divided into three categories: low-carbon building, low-carbon transportation, and low-carbon environment. Then, the technical indicators were selected through empirical analysis. The indicator weights were assigned by the improved analytic hierarchy process (AHP) and the multi-level fuzzy comprehensive evaluation method was used as the evaluation method of the indicators. Finally, in order to examine the practicality of the indicator system, two typical communities in Tianjin and Shanghai were selected as case studies. The results showed that the indicator system gave a reasonable low-carbon level for the two communities, which was in line with the actual low-carbon construction status of each community. In addition, the evaluation results pointed out that the low-carbon community (LCC) in Tianjin needs to further strengthen the construction of the low-carbon environment, including community compactness, rainwater collection and utilization, and waste recycling. For the LCC in Shanghai, it was pointed out that the construction of the low-carbon building and low-carbon transportation needs to be strengthened. The indicator system can be used as a tool for urban planning and construction personnel to evaluate the construction progress and low-carbon degree of LCC.

Research on Risk Assessment Techniques of Offshore Wind Power Projects during Operation Period

In light of the complex operating environment and high maintenance cost of offshore wind power projects, a risk evaluation system is established in accordance with the risk’s features and sources during the operation period of offshore wind power projects. On grounds of the risk evaluation system, a risk assessment method for offshore wind power projects during the operation period is put forward based on the multi-level fuzzy comprehensive evaluation method, and a specific project in the South China Sea is evaluated with the assessment model. The results showed that the risk probability is moderate to low, the consequences of the hazards are moderate, and the comprehensive risk rating is moderate for the assessed project during the operation period. It is necessary to follow the ALARP (As Low As Reasonably Practicable) principle to mitigate the risk. The risk level of offshore wind farms during the operation period can be judged using the evaluation method to provide technical support for prevention and emergency response of the accidents related to the offshore wind power projects.

The Application of Fuzzy Comprehensive Evaluation Method in Evaluating Remaining Oil Potential of Oil Layer

In this paper, remaining oil saturation, microfacies type, oil layer thickness, structure, permeability variation coefficient, injection-production relationship, injection-production perfection degree, effective perforation thickness, connected thickness, water injection distance, water injection well pattern, water cut of oil well and production measures, these thirteen static and production dynamic indicators constitute the evaluation factor set of remaining oil potential, hierarchy and statistical analysis of weight coefficients are carried out for each factor, taking block A as an example, the multi-level fuzzy comprehensive evaluation method is used to quantitatively evaluate the remaining oil potential of complex heterogeneous reservoir, so as to achieve the purpose of regional governance in accordance with size of remaining oil potential.

A Method of Financial Cost Assessment of Marine Transportation Based on Fuzzy Comprehensive Evaluation

Niu, X.F., 2020. A method of financial cost assessment of marine transportation based on fuzzy comprehensive evaluation. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 734–737. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the accuracy of marine transportation cost assessment and reduce the investment in marine transportation, a method of financial cost assessment for marine transportation based on fuzzy comprehensive evaluation was put forward. Firstly, the structure of financial cost evaluation system of marine transportation was introduced, and the flow of information collection interface of cost information, evaluation management, information collection application and financial cost was designed respectively. Based on the availability of existing literatures and data, the packing throughput of port, infrastructure quality of port, liner trade index, export cost, space distance, global competitiveness index, logistics performance index and fuel price were selected as the main influencing factors of marine transportation financial cost evaluation after comprehensive consideration. All of them constituted a set of evaluation indexes. Moreover, marine transportation cost evaluation was completed by analytic hierarchy process and multi-level fuzzy comprehensive evaluation method. S company was taken as the experimental object. The result shows that the proposed method has accurate goodness of fit with the actual value and good practicality.

Developing an evaluation method for SCADA-Controlled urban gas infrastructure hierarchical design using multi-level fuzzy comprehensive evaluation

Currently, China's urban gas supervisory control and data acquisition (SCADA) system faces numerous problems, such as weak information system architecture, incomplete information (& communication) infrastructure design, and an uneven development level. A capable comprehensive evaluation method is urgently needed to achieve a hierarchical design of their infrastructure. This study introduces a multi-level fuzzy comprehensive evaluation (FCE) method using the analytic hierarchy process (AHP), coupled with particle swarm optimization (PSO). By combining qualitative and quantitative analysis, an evaluation index system for a multi-dimensional SCADA-controlled urban gas infrastructure hierarchical design is developed based on the scale of operations, regional safety risk, and management situation. The consistency test, correction, and evaluation index weight value of the judgement matrix in AHP are transformed into a nonlinear constrained optimization problem, which is then solved using PSO. Then, combined with the fuzzy mathematical theory, the membership function is used to compute the membership levels of the indicators at all levels. Finally, the multi-dimensional and multi-index fuzzy comprehensive evaluation of the hierarchical design of SCADA-controlled gas infrastructure is implemented. The proposed evaluation approach was used to evaluate 20 branches of the Sichuan Chuangang Gas Company. The results show that the method is applicable to the hierarchical design of SCADA-controlled gas infrastructure and can serve as reference for other gas companies in developing SCADA-controlled gas infrastructure.

QUALITY INSPECTION AND EVALUATION OF SATELLITE ORTHOPHOTOS IN CHINA'S THIRD NATIONAL LAND SURVEY

Abstract. Satellite orthophotos are important data sources and results of China's third national land survey, and their quality profoundly affects the accuracy of the survey results. This article reviews the quality requirements and quality models of satellite orthophotos for the purpose of land survey in conjunction with the quality inspection and evaluation of satellite orthophotos covering the entire land area of China, and analyzes the shortcomings of current orthophotos quality evaluation methods. On the basis of this method, a multilevel fuzzy comprehensive evaluation method was introduced to test the orthophotos quality evaluation, and the concepts of maximum membership effectiveness index and evaluation grade probability were used to constrain the evaluation results. The results prove that the method is more effective than the current method true and accurate.

Evaluation of bidding risk for wind farm construction projects

With the rapid development and expansion of wind power generation capacity in China, the risk of wind farm construction projects has been paid more and more attention. Based on the method of can-expandable element and multi-level fuzzy comprehensive evaluation method, this paper makes an empirical analysis of the bidding risk of the wind farm construction project of Xintiandi Energy Company in Hebei Province. The research shows that the can-expander element method is more accurate in risk evaluation because there are no different evaluation principles, which can provide effective support for decision makers.

Multistage fuzzy comprehensive evaluation of landslide hazards based on a cloud model.

To accurately study the risk assessment of landslide disasters, firstly, the environmental conditions of induced landslide disasters are regarded as a fuzzy system, and the landslide risk factors in the multi-level analysis system are constructed to build a multi-level fuzzy evaluation index system. Then, the cloud model theory is introduced to improve the importance scale and membership degree involved in the evaluation process, and the multi-level fuzzy comprehensive evaluation method of landslide risk improved by a cloud model is proposed. Thus, a multi-level fuzzy evaluation cloud model for evaluating landslide risk is established. Finally, using the improved cloud model method, a multistage fuzzy comprehensive evaluation of landslide risk is conducted for the K112+210~K112 +630 section of the Long Chuan to Huaiji Highway Project in Guangdong Province. The results show that the improved cloud model can solve the problem of uncertainty in the process of landslide preparation and occurrence, greatly improve the effectiveness of landslide evaluation results, and provide an effective reference for landslide disaster prevention.