Fuzzy Comprehensive Evaluation Theory Research Articles

Consumer Behavior in the Digital Marketplace: A Fuzzy Evaluation Approach

With the growing prevalence of the internet and the development of logistics, consumers face increasingly complex choices when shopping online. Therefore, this article introduces fuzzy comprehensive evaluation to address these shopping issues. In analyzing consumers' purchase decision-making problems for online shopping, it is essential to subjectively evaluate products, such as price, quality, and reputation. By constructing fuzzy relationships and assigning weights, this method effectively handles the ambiguity and uncertainty of evaluation information, reflecting consumers' subjective preferences in actual shopping decisions. This study concludes that quality is the dominant factor among numerous commodity factors,and it also established a shopping decision model, which aids consumers in making the best decisions during their shopping, thereby enhancing shopping efficiency and satisfaction. The results indicate that compared to traditional methods, this method can more accurately focus on consumer purchase intention and improve the understanding of shopping decisions. The paper summarizes the fuzzy comprehensive evaluation of its application value in shopping problems, pointing out that it can better simulate human fuzzy decision-making processes and provide a more practical shopping decision assistance tool. This study not only enriches the application of fuzzy comprehensive evaluation theory in consumer behavior research, but also provides consumers with a scientific and practical shopping decision support method.

A comprehensive assessment of environmental factors in aircraft cockpit based on fuzzy evaluation.

The cockpit of an aircraft is the main place where the pilot controls the aircraft on a mission. An excellent cockpit environment not only ensures the pilot's basic survival needs but also improves the comfort level and alleviates fatigue when performing missions. On the basis of domestic and international airworthiness standards, a top-down refinement method is deployed to determine the initial goal, and the environmental criteria are fully discussed and balanced in a dynamic process to build a comprehensive evaluation system for environmental factors in the aircraft cockpit. Based on the fuzzy comprehensive evaluation theory, an evaluation model for environmental factors is constructed by combining analytic hierarchical analysis (AHP) and particle swarm optimization (PSO). Then the feasibility of the evaluation model is verified by an illustrative example. The results suggest that the light environment gains the highest score among the 4 environmental criteria followed by the thermal environment, while both sound environment and microenvironment have relatively low scores. As for the 27 environmental sub-criteria, temperature, illumination, lighting clarity, light-color coordination, noise duration and pressure score the highest. The evaluation findings can provide important environmental control criteria for the subsequent environmental control system in the cockpit of the aircraft.

The Establishment and Quality Improvement Effect of Physical Education Teaching Evaluation System in higher education institution

Abstract The assessment findings are given too much weight in the current system of evaluation for physical education instruction at higher education institutions. In contrast, the method of teaching and students’ basic health literacy are given insufficient weight. To address this phenomenon, this paper utilizes educational evaluation theory, fuzzy comprehensive evaluation theory, and multiple evaluation theory as the basis for setting up the higher education institution’s physical education teaching assessment system. Three first-level indexes comprise the entire index system, namely, “condition quality,” “process quality,” and “result quality.” Through fuzzy comprehensive evaluation, hierarchical analysis, and genetic algorithm, it is determined that the “process quality” is the most important factor. The “process quality” has the highest weight coefficient of 0.4419, which enhances the importance of the physical education teaching process in higher education institutions. After determining the evaluation index system, the average physical education scores of X physical education classes in University H were calculated by conventional teaching evaluation means and the evaluation means established in this paper, respectively, and compared and analyzed. The difference between the two final average scores was 2.9, which was attributed to the fact that the multivariate evaluation means paying more attention to the core literacy of students’ health. The standard deviation of the statistical results is 2.3, and the skewness, kurtosis, and S-W test values meet the statistical requirements and satisfy the normal distribution, which is thorough and scientific and can encourage academic institutions to pay more focus on how they teach and students’ fundamental physical literacy. These institutions can enhance their instruction by implementing the evaluation system established in this paper, which will improve the quality of instruction and learning in higher education sports.

Feasibility Evaluation of Highwall Mining in Open-Pit Coal Mine Based on Method of Integrated Analytic Hierarchy Process–Fuzzy Comprehensive Evaluation–Variable Weight Theory

Highwall mining is a method that involves using a continuous highwall miner system (CHM) to extract coal from the remaining coal seams, which has proven to be an effective and safe method for extracting coal after open-pit mining. However, application cases globally have shown that the feasibility of highwall mining in open-pit coal mines is subject to geological conditions, mining techniques, and other factors. If application conditions are not suitable, equipment may be trapped under collapsed coal–rock masses and unable to be retrieved, resulting in severe safety issues for slope stability. To meet the real-world demand for extracting the remaining coal in open-pit coal mines in China, it is urgent to conduct a feasibility evaluation of highwall mining in these areas. This paper establishes a mathematical evaluation framework for assessing the feasibility of highwall mining by summarizing a large number of engineering application cases globally and analyzing various technical characteristics such as geological deposit conditions, mining techniques, and technical equipment. The analytic hierarchy process (AHP), fuzzy comprehensive evaluation (FCE) and variable weight theory (VWT) are utilized in conjunction to form this framework, which includes four secondary indicators: geological deposit factors, mining technique factors, safety impact factors, and economic evaluation factors, and 20 tertiary sub-indicators, along with their corresponding characteristic values. The feasibility sub-set is divided into four categories: infeasible, basically feasible, relatively feasible, and highly feasible, and the values of the sub-indicators strictly follow and represent these four levels of feasibility. Weight vectors for the sub-indicators are obtained through a judgment matrix established within the mathematical evaluation framework. The fuzzy relationship matrix of the sub-indicators is constructed using fuzzy mathematical membership functions, and the final feasibility evaluation is determined through two-level comprehensive evaluation. The accuracy of the model is verified using the characteristic parameters of open-pit coal mines under two different conditions (JZT coal mine in Inner Mongolia, China, and GC coal mine in Australia). The results demonstrate that the maximum evaluation membership degree for the JZT mine is 0.7113, belonging to the “highly feasible” level, while the GC mine is 0.3304, belonging to the “basically feasible” level, which aligns well with real-world usage, proving that the evaluation model can effectively reveal the performance and membership degree of each indicator in different application cases. By quantitatively characterizing the feasibility level of highwall mining technology under different application conditions, this evaluation model can provide scientific guidance for coal mining enterprises to introduce CHM for highwall mining operation in open-pit coal mines.

A multi-state target recognition method based on multi-classifier fusion

A multi-classifier target recognition algorithm based on fuzzy pattern recognition and fuzzy comprehensive evaluation theory is proposed, where the base classifiers are deployed as fuzzy pattern recognition classifiers, and the secondary classifiers are based on fuzzy comprehensive evaluation theory. On the basis of time-frequency domain analysis of target signals, fuzzy theories such as fuzzy pattern recognition, decision-making and comprehensive evaluation are synthetically applied to carry out first-level evaluation, where the extracted feature parameters are used as the input of target base classifiers. With the evaluation results as the input of second-level evaluation, target state recognition is performed on the multi-state human targets behind the walls in the ultra-wideband radar sensor network based on fuzzy evaluation. The results show that the recognition can efficiently discern the Multi-status human being behind the wall.

Research on a safety evaluation system for railway-tunnel structures by fuzzy comprehensive evaluation theory

Long-term health detection of railway-tunnel is the development direction and trend of future railway tunnel research. Based on the actual engineering of a railway tunnel, this study developed a safety evaluation model for railway tunnel structures using a fuzzy comprehensive evaluation method and examined a health state evaluation method suitable for most railway tunnel structures. The results showed that the evaluation method comprehensively reflected the impact of various factors, which had strong practicality. The evaluation results were clear, accurate, and consistent with engineering practice. When using the safety factor index to study the stress of a railway tunnel structure, Midas/civil analysis showed that different levels of the surrounding rock structural vault in railway tunnels were in a tensile, control-bearing capacity state. When calculating safety factors, the range of a 60° central angle of a railway tunnel vault was calculated according to the tensile control-bearing capacity. Theoretical formulas of the range of the center angle φ0 of the vault tension zone were derived and then verified by experiments and numerical analysis.

Research on Evaluation of Eco-Metro Station Levels Based on Hierarchical Analysis Models

With the help of hierarchical analysis and fuzzy comprehensive evaluation theory, this paper innovatively constructs a hierarchical evaluation model of underground metro station ecological building projects from six aspects, namely, land saving, material saving, indoor environment, water saving, energy saving and operation management, and combines with the premise of spatial specificity and complexity of underground metro stations, so as to provide a theoretical basis for the development of ecological buildings in the construction of underground metro stations. The article selects the ecological building of underground station in Qingdao, China to carry out comprehensive evaluation and validation. The results of the study show that the evaluation model based on hierarchical analysis can effectively quantify the ecological grades of metro station projects.

Evaluation Algorithm of Disaster Response Capability of Intelligent Distribution Network Based on Fuzzy Comprehensive Evaluation

Because most of the production and transmission components of the power system are exposed to the natural environment, they are vulnerable to the threat of natural disasters for a long time and the resulting circuit damage is also large. With the improvement of people’s living standards and the improvement of electricity demand, more and more attention has been paid to the normal operation of the power system. Improving the disaster resistance ability of the power system is an important prerequisite to ensure the national economy and life. In view of the above problems, in order to solve and improve the power supply recovery ability of the distribution network in the face of various disasters, this paper focuses on the analysis of the disaster response stage of the intelligent distribution network under natural disasters and the comprehensive data and related indicators of the power grid system, so as to establish the evaluation index system of the power grid's predisaster tolerance and postdisaster resilience and, through the introduction of the fuzzy comprehensive evaluation theory, quantifying the disaster response capability of the distribution network. Finally, through the introduction of case analysis, the case results show that the intelligent distribution network disaster response ability evaluation algorithm based on fuzzy comprehensive evaluation constructed in this paper can accurately calculate the disaster response ability of the distribution network and has an important guiding role in the disaster prevention and reduction of the distribution network.

Fuzzy Comprehensive Evaluation of APTS Dispatcher Working Level Based on Cloud Model

Many cities in China have built an advanced public transportation system (APTS) in recent years. These systems cannot carry out automated dispatches but rely on the dispatcher to ensure normal operations. Based on the theory of fuzzy comprehensive evaluation, this study created a hierarchical evaluation model to evaluate the work level of the dispatcher. Firstly, a hierarchical evaluation system was established based on the data of line complexity and dispatch workload provided by the APTS. Secondly, we assigned the weight of the evaluating indicator by combing an expert scoring method and the entropy weight method. We then transformed the quantitative data into qualitative evaluation data with a cloud model. Through a comparison with the standard cloud, the work level of an APTS dispatcher can be defined. The evaluation results for 12 cities in China showed that there was no obvious connection between the working level and bus company size, but the work level was always higher in large cities. We finally obtained the standard range of the evaluation indicator through cluster analysis. This method can be used as a reference to evaluate the work level of dispatchers in other cities, and can reflect the correlation between the work level and dispatching system construction, population and city size.

Online Visual Communication and Scene Reconstruction of Cruise Travel under the Background of Virtual Reality

This paper takes the cruise passenger cabin as the research object, builds the virtual environment model according to the relevant theoretical knowledge and materials, introduces and studies the theory of ergonomic design evaluation, establishes the human-machine environment evaluation index system and comprehensive evaluation model of the cruise passenger cabin, introduces several common comprehensive evaluation methods, compares the advantages and disadvantages of different methods, and combines them with this design object so as to select the applicable evaluation method to evaluate the cabin design scheme. It also introduces several common comprehensive evaluation methods, compares the advantages and disadvantages of different methods, combines them with the design object, so as to select the applicable evaluation methods to evaluate the cabin design scheme and make the cabin design evaluation more systematic, accurate, and reasonable, realizes the three-dimensional visualization of the cruise ship cabin based on virtual reality technology and other technologies, and conducts the ergonomic evaluation of the design effect. The relevant knowledge involved includes human-machine-environment system engineering theory, 3D modeling theory, hierarchical analysis theory, fuzzy comprehensive evaluation theory, and virtual reality development theory. The concept of intelligent environment design is introduced into the environmental design of the intelligent entertainment system of cruise ships, and after the systematic study of the user’s demand level and cabin environment design element system, the problems existing in it are handled and combined with intelligent products, the different functions of intelligence are classified and studied, and the different forms of control are specifically studied to provide the basis for the subsequent specific design. In the case study, an overall evaluation of the architectural aesthetics of the target ship was derived through evaluation experiments. Based on the results, specific indicators at different levels can be traced, thus providing guidance directions for optimal design. The methods such as fuzzy synthesis evaluation and the idea of integrating the evaluation process with VR experience adopted in this paper can provide reference ideas for similar studies.

Evaluation of Urban Park Landscape Satisfaction Based on the Fuzzy-IPA Model: A Case Study of the Zhengzhou People’s Park

Based on the fuzzy comprehensive evaluation theory, a continuous triangular fuzzy quantitative landscape satisfaction evaluation index is used to comprehensively evaluate the landscape satisfaction of Zhengzhou People’s Park. By using the factor analysis method to determine the weight of the evaluation index, an index system of urban park landscape satisfaction evaluation is constructed. And the important expression performance quadrant analysis of the landscape satisfaction evaluation index is combined with the IPA analysis method to propose the improvement of urban park landscape satisfaction. The fuzzy-IPA combination model provides a new way for the satisfaction evaluation of urban park landscape.

Sustainable design and low-carbon technology application of rural landscape under the background of rural revitalisation

This paper proposes the sustainable design of rural landscape based on the perspective of rural revitalisation. The purpose is to maximise the preservation of the original rural landscape while developing the economy under the current rural revitalisation background in China, and to develop the application of low-carbon technology to help the dual-carbon goal. This paper also proposes a fuzzy comprehensive evaluation theory and low-carbon technical characteristics evaluation indicators for evaluating rural landscapes. The purpose is to find out whether the construction of rural landscapes and existing agricultural production meet low-carbon standards. The experimental research results found that in terms of time, the degree of low carbon is getting higher and higher, and by 2018 it has reached 0.876. In agricultural production, the degree of low-carbon control of Platycodon grandiflorum treatment and fertiliser types is the highest, reaching above 0.8.

Post Evaluation of Power Grid Project Based on Rough Set and Improved Multi-Level Extension Assessment

Post evaluation of power grid investment and construction project is an important part of power grid construction project. The effect of post evaluation will directly affect the quality level of project construction. Therefore, this paper proposes an improved post evaluation system based on rough set and fuzzy multi-level extension. Firstly, the main factors affecting the function effect of power grid construction project are analyzed. Then, the improved fuzzy multi-level extension evaluation model is constructed by combining fuzzy comprehensive evaluation theory with multi-level extension evaluation method. Finally, a 220 kV substation construction project is taken as an example to verify the validity and rationality of the model.

Risk Assessment of Power Monitoring System Based on Fuzzy Analytical Hierarchy Process

The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.

Real‐time prediction method of fatigue life of bridge crane structure based on digital twin

AbstractThe comprehensive effect of multiple factors that include the geometric characteristics, load status, service characteristics, and failure mechanism will affect the safety of bridge crane structure. To evaluate the security of the bridge crane structure, the real‐time prediction method of fatigue life of the bridge structure based on digital twin is proposed. The specific type of general bridge crane is selected as the physical entity of the research object, and the information acquisition system is utilized to get the current service status information about the physical entity. On this basis, combined with the historical service information and inherent information of physical entity, the fuzzy database is established. Meanwhile, twin data are formed by the clear quantification of fuzzy information and data processing technology. In accordance with structural characteristic and work cycle process of bridge crane, the analytical models of load, strength, defect, and fatigue life are established, respectively. The multi‐theoretical calculation model is completed by encapsulating the analysis models and transmitting information, and then the main factors affecting the fatigue life of bridge crane structure are determined. With that, the comprehensive evaluation coefficient is calculated by the fuzzy comprehensive evaluation theory. The response relationship between the information data and the fatigue life of bridge crane structure is described by the Kriging surrogate model constructed with experimental design. Real‐time prediction of fatigue life of bridge crane structure is realized in a virtual space to depict the life cycle process. Taking QD20/10 t × 43 m × 12 m general bridge crane as an example, the feasibility and applicability of the proposed method are verified, which provides a strong theoretical basis for dependable service and timely scrapping of cranes.

A well selection method of CO2 huff and puff in heavy oil reservoir with edge and bottom water based on water cut

The water cut of heavy oil reservoir with edge and bottom water rises rapidly and the recovery degree of crude oil is low. CO2 huff and puff is an effective measure to improve the recovery of this kind of reservoir, and scientific well selection is the premise of the measure effect. Because the existing well selection methods of CO2 huff and puff in heavy oil reservoir with edge and bottom water mostly take the oil increase of oil well as the evaluation index, ignoring the characterization of well water cut after huff and puff, it is unable to accurately screen all potential wells. Therefore, a quantitative well selection method of CO2 huff and puff in heavy oil reservoir with edge and bottom water based on water cut is proposed. The method is based on fuzzy comprehensive evaluation theory and analytic hierarchy process, and takes the water cut after CO2 huff and puff as the evaluation index. Several groups of typical models are designed to screen the sensitive factors and laws of CO2 huff and puff well selection in heavy oil edge and bottom water reservoir from three aspects of geology, water production law and technology. Than the judgment matrix is established. There is little interference from human factors in the process of well selection, and the rationality of the method has been verified by the effect of field actual well measures. This method is helpful to improve the well selection method system of CO2 huff and puff in this kind of reservoir, and is a reasonable supplement to the existing well selection method which takes the oil increment as the only evaluation index.

Research on Quantitative Evaluation of Post Safety Competency of Port Operators

This study took one subsidiary company of a certain domestic port group as a sample. Through job hazard source analysis, job demand analysis, open questionnaire survey, literature review, etc., the characteristics of post safety competency were collected and analyzed, and through statistical analysis of the sample data of the target positions, the reliability and validity analysis of the principal component analysis of the job competency characteristic elements were carried out to optimize and determine the theoretical model and its core characteristic elements, so as to establish the framework of the safety competency characteristic model of the target positions and form the post safety competency evaluation index system. Based on the objective weighting theory analysis method of system dynamics, the entropy weight of each level assessment index was calculated by using the information entropy of key post sample population, and then the weight of each level assessment index was corrected by the entropy value. According to the security requirements of mooring line workers, this paper carried out the theory of multilevel fuzzy comprehensive evaluation, the matrix model of multi-level safety fuzzy evaluation was established, and the fuzzy comprehensive evaluation was used for the third-level index, second-level index and first-level index successively, so that the comprehensive evaluation result of each level can be obtained respectively, and port operators’ post safety competency can also be quantitatively evaluated.

A Novel Method of Emergency Situation Evaluation for Deep-Sea Based on Bayesian Network

In order to make effective emergency decisions timely, this paper proposes an intelligent emergency situation evaluation method based on the Bayesian network for deep-sea emergency response, which is used to evaluate the deep-sea emergency situation quantitatively by calculating the occurrence probability of emergency situation risk at each risk level. In this research, a Bayesian network is constructed to analyze the deep-sea emergency situation firstly. Aiming at the bottleneck problem of insufficient case data for the Bayesian network's parameter learning, an automatic parameter allocation algorithm is presented based on the domain knowledge. Then, in order to obtain the quantitative analysis results of the overall emergency situation, a comprehensive situation evaluation model is presented based on the Bayesian network reasoning results, and the fuzzy comprehensive evaluation theory. Finally, a case study is given to illustrate this proposed method's application, which can provide a scientific basis for decision-making in the deep-sea emergency practice.

Evaluating DC Partial Discharge With SF6 Decomposition Characteristics

This study mainly aims to obtain the decomposition characteristics of SF6 under various degrees of negative partial discharge (PD) and establish a method for evaluating the internal PD fault for gas-insulated equipment (GIE). Thus, metal protrusion, a frequent insulation defect in DC GIE, was used in the study of PD characteristics from the initial discharge to the near breakdown process. Then, seven parameters for characterizing the development stage of PD were extracted, and the fuzzy C-means clustering algorithm was used for the categorization of PD into three degrees, namely, slight, medium, and severe. We performed SF6 decomposition experiments on the PD degrees to obtain the decomposition characteristics. Results show that the SF6 decomposition characteristics (formation and content variation of five characteristic components, namely, CF4, CO2, SO2F2, SOF2, and SO2) are closely related to PD status. Fuzzy comprehensive evaluation theory was used for the establishment of a PD fault status assessment model, which was based on SF6 decomposition characteristics. Then, we evaluated the collected samples, and the accuracy of the evaluation method was up to 87.5%. This paper lays the foundation for future comprehensive assessment and fault diagnosis of insulation status of DC GIE on the basis of SF6 decomposition characteristics.

A Resumes Recommendation Method Combining Graph Matching and Fuzzy Comprehensive Evaluation Theory

The resume is the cornerstone of information in the whole hiring process. Evaluating resumes accurately has important values. This paper presents a method of resumes recommendation combining graph matching and fuzzy comprehensive evaluation theory around recruitment of industrial talents. The degree of matching between resumes and jobs was calculated by using fuzzy comprehensive evaluation. The optimal matching list was found with the help of graph matching theory. The results of experiment showed that the method can effectively recommend suitable resumes for specific jobs.