Two-level Fuzzy Comprehensive Evaluation Research Articles

Research on optimization of food system based on multi-objective programming

Using Principal Component Analysis (PCA), 9 indicators with large influence degree were selected, which consist of the basis for two-level fuzzy comprehensive evaluation model and multi-objective optimization model. Model one is to establish a secondary fuzzy comprehensive evaluation model. Model two is to build a multi-objective Food System Optimization Model. Results show that the optimization of sustainability in the United States made the food system more stable, and the optimization of fairness in Brazil was more conducive to the improvement of the food system.

Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System

Breast cancer (BC) seriously threatens women’s health. The establishment of a risk evaluation model cancer is conducive to early screening and prevention of BC. In this article, a new method of the evaluation and the framework of prevention for BC are proposed by synthesizing interval type-2 fuzzy sets (IT2 FSs), two-level fuzzy comprehensive evaluation, and parallel control (Artificial societies, Computational experiments, and Parallel execution, ACP). At the same time, 12 risk factors were selected as indicators to evaluate the risk level of BC, and then, according to the evaluation results, the correspondingly prevention strategies and intervention measures for different risk levels were discussed. Then, the prevention strategies are analyzed and selected in the computational experiment module of the artificial system, and the patient indexes are monitored in real time by the parallel mechanism between the actual and the artificial system, to feedback, adjust, and optimize the prevention scheme in time. This parallel BC prevention process can achieve dynamic closed-loop control effects. A new effective way for BC prevention was presented, which is of great significance for reducing its incidence rate and developing new medical means.

Impact of Asteroid Mining on Global Equity Based on Two-Level Fuzzy Comprehensive Evaluation Model

With the development of outer space exploration and development technology, people began to consider the possibility of asteroid mining. However, due to the imbalance of power among countries in the world, this will have a huge impact on global equity. To study the impact of asteroid mining on global equity, first, I built a two-level fuzzy comprehensive evaluation model, selected 14 indicators, and determined the weight of 6 first level indicators using the analytic hierarchy process. Then, I determined the weight of 8 second level indicators using the objective entropy weight method and calculated the membership of each type of country. Then we use time series analysis to predict the degree of membership of different types of countries in the next few years. So as to draw the impact of different indicators on global equity, so as to promote global equity and make asteroid mining truly benefit all mankind.

Optimization of CO2 geological storage sites based on regional stability evaluation—A case study on geological storage in tianjin, china

Carbon dioxide geological storage is one of the important means to mitigate the greenhouse effect and curb global warming. The key to carbon dioxide (CO2) geological storage is to select a suitable storage site. Using the geological analysis method and analytic hierarchy process (AHP)–fuzzy comprehensive evaluation method, combining the qualitative analysis of geological conditions with the quantitative calculation of site parameters, this study determines a site target area suitable for CO2 geological storage in Tianjin. First, the regional crustal stability of Tianjin is discussed, and the characteristics of regional gravity field anomaly, regional crustal thickness, and regional aeromagnetic characteristics are comprehensively analyzed. The site is focused on Banqiao sag, a class ⅳ tectonic unit in Bohai Bay Basin. Second, aiming at the storability, safety, and economy of the site, the expert investigation method is used to construct the target area evaluation index system, including four primary indexes and ten secondary indexes. The weight of each index is determined using the analytic hierarchy process. A two-level fuzzy comprehensive evaluation mathematical model is constructed. The suitability of CO2 geological storage in three sites (site A, site B, and site C) in Banqiao sag is evaluated. The results are as follows: the comprehensive membership of site A, site B, and site C is 0.8629, 0.3926 and 0.1750, respectively. The comprehensive membership of site A is the largest. The evaluation results show that the preferred target area of Tianjin local carbon dioxide geological storage site is located in ‘site A’ near Dazhangtuo fault in Banqiao sag, Huanghua depression, Bohai Bay Basin (with an area of about 5 km2). In this study, a suitable target area is delineated for the local CO2 geological storage site in Tianjin, which can be used as an advantageous location for CO2 geological storage. The conclusion has a positive response to the problem of CO2 emission reduction in Tianjin.

Evaluation of Students’ Educational Management Quality Based on Intuitionistic Fuzzy Information

In order to further improve the scientificity and rationality of students’ education management quality evaluation, this paper proposes a method of students’ education management quality evaluation based on intuitive fuzzy information. This method makes a scientific judgment on the teaching management process and teaching results in combination with the objectives of students’ education and teaching management. On the basis of teaching evaluation, with the help of intuitionistic fuzzy information integration algorithm method, this paper focuses on using intuitionistic fuzzy-weighted average operator and normal distribution weighting method to construct the quality evaluation model of students’ education and teaching management, and develops the teaching quality evaluation system based on intuitionistic fuzzy theory. Through the two-level fuzzy comprehensive evaluation, the teacher evaluation result score is 81.45, which is an algebraic value from 0 to 100, and the score is between 80 and 90, which verifies that the classroom teaching evaluation result is good.

Simulation and optimization of hydraulic fracturing in shale reservoirs: A case study in the Permian Lucaogou formation, China

Long horizontal sections, small well spacings, and dense cutting are the main methods for shale reservoir development. However, there are still significant differences in oil production after large-scale fracturing of horizontal wells due to reservoir heterogeneity. This study presents a fracturing design method based on sweet spot mapping to determine the adaptability of reservoir quality and fracturing scale in order to improve the fracturing effect. First, geomechanics model is constructed utilizing logs and core laboratory tests. Then, comprehensive sweet spot mapping is captured through the two-level fuzzy comprehensive evaluation method, which considered the reservoir physical quality and engineering quality. The sweet spot divides the reservoir into three types: type I (good), type II (moderate), and type III (poor). Finally, fracturing simulation and reservoir numerical simulation are performed to optimize the fracturing parameters for different types of sweet spots. Results show that there is a strong correlation between type I sweet spot and productivity. Increasing drilling rate for type I sweet spot can improve productivity. The 5-year cumulative oil production of segmented way based on sweet spot types is 4005 m3 higher than that of uniform segmented way. Reasonable stage lengths of type I, II, and III sweet spot are 66.67 m, 50 m and 40 m, respectively, and cluster spacing is between 10 m and 12 m. Reasonable single-stage fracturing fluid volume for type I and type II sweet spot is 2200 m3, and type III is 1900 m3. Specifically, the results of applying the optimized parameters to actual well demonstrate that the design scheme has a 5-year cumulative oil production of 7026 m3 and NPV of $1.01 million higher than the actual scheme. This method will be helpful for engineers in developing a reasonable fracturing plan for shale oil in future operations.

Research on a safety evaluation method based on ANP-fuzzy decision for coal mine ventilation system

Aiming at the ambiguity and randomness of the indicators in the comprehensive evaluation of the safety of the mine ventilation system, a two-level fuzzy comprehensive evaluation model of safety is established. In this paper, to calculate the indicators which have enhanced the objectivity and scientific of the safety evaluation of the mine ventilation system, network analytic method (ANP) is used. By utilising this ANP method, the obtained results indicated that the safety level of the mine was only 'general safety'. Through single-factor evaluation and analysis of the weights of various indicators, the system can be based on the employees' physical fatigue (A3), employees' attendance (A7), volume fraction of gas and toxic gas (C3), dust mass concentration (C5), air volume supply-demand ratio (C7), ventilation system hole volume ratio (C8) and regular inspection (B1) to improve the safety of the mine ventilation system.

User Deep Energy Efficiency Evaluation via Load Perception and Clustering

With the constantly upgrading of the living level of urban residents, the types and quantities of domestic appliances continue to increase, and the electricity consumption behaviour is becoming more and more complex. Based on the fine-grained user energy consumption data obtained by load intelligent perception, this paper proposes a user energy efficiency evaluation method through fuzzy comprehension evaluation. First, the energy consumption characteristics at appliance level which can effectively represent energy consumption behaviour of users are designed and filtered, and then the energy efficiency evaluation strategy of appliances based on fuzzy comprehensive evaluation is established. The strategy adopts two-level fuzzy comprehensive evaluation. The first appliance-level fuzzy evaluation realizes the energy efficiency evaluation of the appliances. The second level is the comprehensive evaluation of user energy efficiency based on the appliance energy efficiency assessment, and the target users are divided into different energy efficiency levels. The measured data-based analysis results prove the effectiveness of the proposed method, and the results can guide users to optimize their electricity consumption behaviour scientifically and realize energy saving and carbon reduction.

Research on Health Model of higher Education system based on Fuzzy Comprehensive Evaluation

Higher education system is an important part of a country's education. This paper discusses a series of problems in the higher education system. In this paper, a health grade evaluation model of higher education is established by using two-level fuzzy comprehensive evaluation model and analytic hierarchy process (AHP), and the health grades of different countries are given. Then, on the basis of the traditional grey GM model, an improved metabolic GM algorithm is proposed, and the sustainable evaluation model of higher education system is established. Then, the model is analyzed by selecting the United States, China and Japan, and the corresponding health grade of higher education system is given to verify the accuracy of the model.

Vulnerability evaluation method of inland waterway revetment project subjected to wave and current

The flood damage of inland waterway revetment project has become one of the most serious disasters that affect the water transportation, municipal environment, human life and property safety. Scientific and reasonable evaluation of the vulnerability of waterway revetment eProject subjected to wave and current can effectively prevent and reduce disaster losses. According to the characteristics of multi factors and fuzziness in the vulnerability evaluation of waterway revetment project subjected to wave and current, a two-level fuzzy comprehensive evaluation mathematical model for vulnerability assessment is established by using fuzzy mathematics method. Based on the field investigation and observation data of the waterway revetment project in the middle and upper reaches of the Yangtze River and the relevant measurement of laboratory experiments, four main factors affecting the stability of the waterway revetment project, including design and construction, protective measures, wave-current characteristics and river waterway factors, are selected based on the establishment of vulnerability evaluation index system. Analytic hierarchy process (AHP) is used to determine the weight of evaluation factors and their sub factors, which improves the objectivity and scientificity of vulnerability assessment of waterway revetment project subjected to wave and current.

Open-channel landslide hazard assessment based on AHP and fuzzy comprehensive evaluation

Abstract Cross-regional water diversion projects usually face risks of hazards, in particular high risks of sudden landslides on the slopes of water supply open channels. Determining the hazard level rapidly after a hazard occurs plays a critical role in improving the efficiency of emergency response and recovering the water supply capacity of the projects. Through in-depth analysis of the factors that affect the severity of open-channel landslides, an indicator system for hazard assessment of open-channel landslides was established and the criteria for evaluation of different hazard levels were identified. Based on the hierarchy of the indicator system, a two-level fuzzy comprehensive evaluation model was established to assess the impact of indicators in the model on the hazard level of open-channel landslides, and the weight of each indicator was determined by the analysis hierarchy process. The linear function was used to calculate the membership degree of each indicator to determine the hazard level. A hazard scenario was created with the water diversion project from the Irtysh River to Urumqi as an example, and the two-level fuzzy comprehensive evaluation model was applied to conduct hazard assessment. The proposed method was confirmed to be reasonable and practical.

The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

Evaluation of Energy Saving and Emission Reduction Effects for Electricity Retailers in China Based on Fuzzy Combination Weighting Method

China’s electricity market is in the environment for a round of new electric power reform, energy planning and transformation and the carbon market construction. The current market players are in urgent need of implementing their own energy saving and emission reduction actions. Relatively extensive and systematic researches on the assessment of the energy saving and emission reduction effects for the power plants, power grid companies, and technical equipment have been carried out at home and abroad. However, there are still vacancies in the researches on those for electricity retailers emerged on the sales side. Based on the carding and analysis of related policies and guidance, in this paper, relevant indicators are considered to build the evaluation indicator system of the energy saving and emission reduction effects for electricity retailers. The combination weights are gained by means of analytic hierarchy process and entropy weight method. Then, after the combined empowerment of indicators, the multi-level fuzzy comprehensive evaluation of energy saving and emission reduction effects for electricity retailers is conducted. Finally, choosing 10 electricity retailers (numbered from A to J) as evaluation objects, this model is used for obtaining the evaluation results and ranking of energy saving and emission reduction effects of electricity retailers, which provides reasonable ideas for the construction of evaluation indicator system and effective comprehensive evaluation methods of energy saving and emission reduction effects for market players in the electricity sales side. The results of example analysis show that, from a single dimension, the best electricity retailers in market transactions, technical means, integrated energy services, management system, and social responsibilities are followed by B, J, D, G, C, or I. However, from a global perspective, the sorted evaluation results are D, J, I, A, H, G, E, B, F, and C, which reflects the overall energy saving and emission reduction effects of electricity retailers through the two-level fuzzy comprehensive evaluation.

Optimum design and performance evaluation of layer face milling cutter for cutting 508III steel

Water chamber head is an important component of the steam generator in the nuclear power plant AP1000. It is made of 508III, a type of steel with high strength, low hardness, high toughness, and poor machinability. Traditional cutters are not efficient in cutting process, while the layer face milling cutter is able to reduce the cutting force at cutter teeth and, therefore, can prolong the tool life and improve the cutting efficiency thanks to the use of the layered milling technique. In this work, structural parameters of the layer face milling cutter for processing 508III are determined from aspects of the cutter structure, the cutter head diameter, and the cutter tooth density, with regard to characteristics of the heavy-duty cutting process. Next, geometrical parameters of the cutter, including the axial rake angle, the radial rake angle, the cutting edge angle, and the step structure, are optimized by means of single-factor experiment and static analysis. Finally, the performance of the optimized cutter is verified by two-level fuzzy comprehensive evaluation with using the indexes determined in the above experiment. The optimization of the layer face milling cutter can not only raise the cutting efficiency but provide some support, both theoretically and technically, for heavy-duty cutting applications.

Multi-index and two-level evaluation of shale gas reserve quality

The shale gas industry has intensely developed since the beginning of this century, with the finding of continuous, structurally controlled and noncontinuous shale gas fields. Consequently, the evaluation of shale gas reserve quality has become increasingly important and difficult, requiring multi-index systems and a two-level methodology. Structurally controlled and noncontinuous shale gas fields can be geographically characterized by 7 factors: fluid property, reservoir quality, reserve scale, production features, gas pool characteristics, sedimentary features, and structural characteristics. Each of these key factors includes a number of secondary factors. In this study, the primary and secondary factors were represented in a multi-index system comprising 7 first-level indexes and 47 second-level indexes. The new multi-index system was adopted in a two-level fuzzy hierarchy methodology that couples two-level fuzzy comprehensive evaluation with an analytic hierarchy process. Finally, 4 shale fields in China and North America were evaluated using the multi-index system and two-level fuzzy hierarchy methodology. The evaluation results excellently reflected the situation of the shale gas fields.

Feature extraction and severity assessment of partial discharge under protrusion defect based on fuzzy comprehensive evaluation

Partial discharge (PD) is an early manifestation of insulation fault that occurs in electrical equipment, which holds rich feature information used to insulation assessment. In this study, step voltage method was applied to investigate the PD development process of typical protrusion defects in gas-insulated switchgear. Nine features were extracted to represent the deterioration degree of internal insulation. Fuzzy C means clustering was applied to solve the state centres. PD severity was divided into four states based on the PD developing process, and the harmfulness of each state was illustrated. Finally, adaptive objective weight technology based on the theory of maximising deviation was adopted, and two-level fuzzy comprehensive evaluation (TL-FCE) model was established to address the problem of the weight allocation of different features on the evaluation result. The experimental test has been conducted to test the validity and effectiveness of the model. It is proved that TL-FCE owns good performance to assess PD severity, and it is more suitable to handle fuzzy boundary problems than support vector machine.

Optimization of CO2 separation technologies for Chinese refineries based on a fuzzy comprehensive evaluation model

This study aims at determining the optimal CO2 separation technology for Chinese refineries, based on current available technologies, by the method of comprehensive evaluation. Firstly, according to the characteristics of flue gas from Chinese refineries, three feasible CO2 separation technologies are selected. These are pressure swing adsorption (PSA), chemical absorption (CA), and membrane absorption (MA). Secondly, an economic assessment of these three techniques is carried out in accordance with cash flow analysis. The results show that these three techniques all have economic feasibility and the PSA technique is the best. Finally, to further optimize the three techniques, a two-level fuzzy comprehensive evaluation model is established, including economic, technological, and environmental factors. Considering all the factors, PSA is optimal for Chinese refineries, followed by CA and MA. Therefore, to reduce Chinese refineries carbon emission, it is suggested that CO2 should be captured from off-gases using PSA.

Evaluating Collaborative Innovation Ability of School-Enterprise Cooperation

This paper mainly evaluates and analyzes the collaborative innovation ability of school-enterprise cooperation through the construction of key evaluation index system and model of the application. First, we construct the general evaluation index system. After screening with characteristics of group decision making method, we get the key evaluation index system. And then, we construct the two-level fuzzy comprehensive evaluation model to evaluate the influence degree of the key indicators. Finally, the practicability with the instance data has been tested. And based on the results of comprehensive evaluation, we carry on the specific two-level analysis of the data on knowledge collaborative innovation ability, technology collaborative innovation ability and information collaborative innovation ability. Through the development degree of every collaborative innovation abilities, the causes and effects of the factors have been analyzed and got.

The Rock Slopes Classification Research of Ordinary Roads in Liaoning Province

Rock slopes are always distributed along roads, due to the discreted distribution and small scale, detailed mechanics parameters of the slopes are difficult to obtain. Thus, the existing analysis methods, like Q-system classification, RMR classification, SMR evaluation system, and CSMR method are not suitable for analyzing rock slopes. In this paper, an evaluation model for slope stability classification of ordinary roads in Liaoning province is proposed based on two-level fuzzy comprehensive evaluation. Thirteen genes that belongs to four factors are selected as predictive factors for the evaluation model. Membership is assessed by expert assessment method and the weight value of affecting factors is determined by inverse analysis method in evaluation model. A total number of 129 rock slopes is studied using this model and results are consistent with the experts' in situ evaluation, which proves this method reasonable and practical.

Classification and Quality Evaluation of Tobacco Leaves Based on Image Processing and Fuzzy Comprehensive Evaluation

Most of classification, quality evaluation or grading of the flue-cured tobacco leaves are manually operated, which relies on the judgmental experience of experts, and inevitably limited by personal, physical and environmental factors. The classification and the quality evaluation are therefore subjective and experientially based. In this paper, an automatic classification method of tobacco leaves based on the digital image processing and the fuzzy sets theory is presented. A grading system based on image processing techniques was developed for automatically inspecting and grading flue-cured tobacco leaves. This system uses machine vision for the extraction and analysis of color, size, shape and surface texture. Fuzzy comprehensive evaluation provides a high level of confidence in decision making based on the fuzzy logic. The neural network is used to estimate and forecast the membership function of the features of tobacco leaves in the fuzzy sets. The experimental results of the two-level fuzzy comprehensive evaluation (FCE) show that the accuracy rate of classification is about 94% for the trained tobacco leaves, and the accuracy rate of the non-trained tobacco leaves is about 72%. We believe that the fuzzy comprehensive evaluation is a viable way for the automatic classification and quality evaluation of the tobacco leaves.