Hierarchical Fuzzy Evaluation Research Articles

The Digital Transformation of College English Classroom: Application of Artificial Intelligence and Data Science

A major step forward in educational technology is the application of Data Science additionally Artificial Intelligence (AI) into undergraduate English courses. Improving teaching approaches and student involvement in the context of English language acquisition is an important issue that this study seeks to address. Even though there have been great strides in educational technology, conventional English classes still have a hard time meeting the demands of their different student bodies and offering individualized lessons. This is a major problem that prevents English language training from being effective, according to the material that is already available. In this study, we provide an approach to this issue called English Smart Classroom Teaching with the Internet of Things (ESCT-IoT). Utilizing data science techniques, artificial intelligence (AI) algorithms, and Internet of Things (IoT) sensors, ESCT-IoT intends to provide a personalized learning environment that is both immersive and adaptable. The fuzzy hierarchical evaluation technique is used to determine the assessment's final result, which measures the smart classroom's instructional impact. To overcome the limitations of conventional education, ESCT-IoT gathers and analyses data in real time to give adaptive material, individualized feedback, and learning suggestions. There are noticeable benefits as compared to traditional methods of instruction when it comes to evaluation metrics like student engagement, learning outcomes, and teacher satisfaction. Furthermore, ESCT-IoT is excellent in encouraging active learning, improving language fluency, and boosting overall academic achievement, according to qualitative comments from both students and teachers.

The Path of “Dual-Teacher” Teacher Cultivation in Applied Local Higher Teacher Colleges under the Background of Big Data

Abstract The cultivation path of the applied “dual-teacher” teacher team in this paper mainly relies on the qualification standard and evaluation system. Big data technology is used to collect data, deeply mine fragmented data, and further extract index factors that affect the quality of teachers. The multi-level fuzzy hierarchical evaluation model realizes the quantification of the decision-making process with less quantitative information, and determines the weights through the multi-level comparison of importance, to test and evaluate the teaching ability of “dual-teacher” teachers. The results show that, among the 166 survey respondents, 77 respondents belong to the “ Dual-teacher” teachers, accounting for about 45.03%. The primary needs and ways for most of the teachers to participate in the training of “dual-teacher” teachers are to improve the practical ability of industry and enterprise positions (score 0.86) and the school-based training of dual-teacher teachers (0.93), which is centralized in the college. In evaluating “dual-teacher” teaching, the weight of industry-teaching integration is 0.3378, so the ability of industry-teaching integration is a more meaningful indicator. College students are satisfied with “dual-teacher teaching”, and the score shows that the essential satisfaction is more than half of the total number of samples, which is 343.

Research on the cultivation path of craftsmanship in university education based on fuzzy hierarchical analysis

Abstract This paper firstly explores the evaluation method of the level of cultivation of craftsmanship in colleges and universities and decomposes the problem to be analyzed into each component element that affects its goal by using the fuzzy hierarchical evaluation method. The hierarchical structure analysis model is established, and the upper influence factors of each layer are used as the basic criteria to compare each influence factor of the program layer and the criterion layer with each other, and the fuzzy consistency matrix is constructed to determine the relative weights of each divided influence factor. Then, the current situation of the level of cultivation of craftsmanship in college education and the problems of the cultivation mechanism of craftsmanship in colleges and universities were analyzed, and suggestions for improvement were put forward. In terms of the existing problems, 70% of them think that the atmosphere of attaching importance to craftsmanship spirit is insufficient, 80% of them think that the teaching method of craftsmanship spirit is in a single way, and 86% of them think that the excavation of craftsmanship spirit is not deep. In terms of the recognition of craftsmanship spirit, “respecting teachers and respecting morality”, “being willing to devote”, “being rigorous and meticulous”, “inheriting tradition “ and “innovation and creation” are all around 60%, while “excellence”, “love for work”, and “endurance of loneliness” are all around 60%. The approval rate of the artisan spirit of “enduring loneliness” is between 70% and 75%. The research of this paper is of great significance to the cultivation of craftsmanship in universities.

A Comparison of Research Methods to Determine the Sustainability of Mineral Resources in Henan Province Based on Cloud Analysis

In order to improve the fuzzy comprehensive evaluation model of mineral resource sustainability and enhance its scientific and objective nature, in this paper, a cloud model-based risk assessment method is introduced to determine the sustainability of mineral resources in a comprehensive comparison, while using a combination of subjective and objective weighting method combining improved hierarchical analysis and the entropy weighting method. Compared with the previous single-assignment evaluation method, the method used in this paper has the advantages of more reasonable determination of weights, more accurate results and better visualization. On this basis, the combined weight method, cloud model method and hierarchical fuzzy evaluation method are organically combined to conduct a comprehensive evaluation of the sustainability of mineral resources in Henan Province. The case analysis shows that the comprehensive evaluation results of the sustainability of mineral resources obtained according to the method are scientifically reasonable and have important reference value and promotion significance for quantitative research in related fields.

Residual coal distribution in China and adaptability evaluation of its resource conditions to underground coal gasification

This paper researched the distribution and the characteristics of residual coal resources for their adaptability into underground coal gasification (UCG) technology to promote a potential green technology for the development of residual coal resources in China. The results reflected that the average recovery rate of resources for coal mines was only 37.67% in China, and the residual coal reserves reached 148.53 gigatons (Gt), of which 52.51% occurred in North China. Furthermore, these resources are mainly distributed in the buried depth shallower than 800 m, accounting for 87.15%. And residual coal types were primarily bituminite with a percentage of 72.89%. We established a multi-level model with membership functions that included an analytic hierarchy and a fuzzy comprehensive evaluation with variable weight theory. As a result, a varying weight fuzzy hierarchical evaluation model for the resource conditions feasibility of residual coal with UCG technology was established. Finally, the model was applied to the resource condition feasibility evaluation of UCG industrial tests at Zhongliangshan, Huating, and Shanjiaoshu Mines. The industrial tests showed that the evaluation model constructed in this paper could comprehensively, objectively, and intuitively reflect the adaptability of residual coal resources to UCG technology, providing a scientific reference for UCG project decision-making.

The Construction of English Smart Classroom and the Innovation of Teaching Mode under the Background of Internet of Things Multimedia Communication

There are some problems in English smart classroom, such as slow response speed of related platforms and room for improvement of teaching effect. Therefore, it is necessary to construct English smart classroom and innovate teaching mode under the background of Internet of Things (IoT) multimedia communication. The teaching objectives are divided into classroom teaching objectives, curriculum objectives, and education and training objectives, so as to design the technical support for English smart classroom, that is, to build a smart classroom integrating cloud application platform (including students’ learning cloud and teachers’ teaching cloud), teaching platform, resource platform, learning space, and interactive classroom by using Internet of Things multimedia communication technology, and build an innovative teaching mode of English wisdom classroom. The fuzzy hierarchical evaluation model is used to design the fuzzy hierarchical evaluation algorithm. Through the fuzzy hierarchical evaluation algorithm, the teaching effect of smart classroom is evaluated, and the final evaluation result is obtained. The results show that the average platform login time of the proposed method is always below 0.3 s, the average score of the summative evaluation is high, the evaluation time is always below 0.4 s, the average communication delay is 0.54 s, and the user satisfaction is always above 9.2. The practical application effect is better.

A novel method for constructing the optimal hierarchical structure based on fuzzy granular space

Granular computing serves as a general framework for complex problem solving in broad scopes and at various levels. The granularity was constructed via many ways, however, for complex systems there remain two challenges including determining a reasonable granularity and extracting the hierarchical information. In this paper, a new method is presented for constructing the optimal hierarchical structure based on fuzzy granular space. Firstly, the inter-class deviations and intra-class deviations were introduced, whose properties were investigated in depth and approved mathematically. Secondly, the fuzzy hierarchical evaluation index is developed, followed with a novel model for extracting the global optimal hierarchical structure established. An algorithm is then proposed, which reliably constructs the multi-level structure of complex system. Finally, to reduce the complexity, the granular signatures are extracted according to the nearest-to-center principle; with the use of the signatures, a classifier is designed for verifying our method. The validation of this method is approved by an application to the H1N1 influenza virus system. The theories and methodologies on granular computing presented here are helpful for capturing the structural information of complex system, especially for data mining and knowledge discovery.

Combination evaluation study on new energy projects in electric power enterprise based on fuzzy hierarchical evaluation method

This paper studies the combined evaluation of new energy projects in electric power enterprises based on the fuzzy hierarchical evaluation method. According to the engineering data of XM power plant and other works of the literature, the fuzzy evaluation method is adopted to analyse the financial and social impact of the project in XM power plant. Fifty-seven per cent and 20% experts believe that the management level of XM power plant is general and good, respectively. The comprehensive evaluation result of new energy project is good for the long-term development of regional economy.

A DYNAMIC RISK ASSESSMENT MODELING BASED ON FUZZY ANP FOR SAFETY MANAGEMENT SYSTEMS

Risk assessment in large organizations with extensive operational domains has been a challenging issue. Employing an efficient method along with realistic pair comparisons, applying subjective inferences of organization experts, and purging the intrinsic ambiguity of inferences, are not reflected in current airlines' safety management. Traditional two-dimensional risk assessment for risk management of safety hazards, however, is no longer sufficient to comply with this complexity. A new model for risk management and a novel formula for risk index calculation, based on a fuzzy approach, are presented in this study. In this new model, unlike in the traditional approach, the latent aftermath of safety reports, especially those which affect the continuity of the business, is also taken into account. In this model, along with the definition of a new structure for risk management, risk analysis should be restructured. To that end, a two-dimensional classic risk formula was replaced with three-dimensional (nonlinear) exponential ones, considering “the impact on the business” as a source of risk and hazard. For measuring the safety risk using the Fuzzy hierarchical evaluation method, considering experts' opinions, three criteria in four different operational fields were developed. This method employs a Fuzzy ANP to help quantify judgments, make qualitative judgments in the traditional method, and weigh the priority of elements contributing to risk. Also, it provides a tool for top-level as well as expert level management to monitor safety more precisely, monitor the safety level within their departments or organizations, set quantitative safety goals and provide feedback for improvement as well as find the most critical areas with the least cost. In this study, an airline has been selected as a case study for the risk assessment of reports based on the new model.

Research on Test Verification Index system of New Generation Electronic equipment

Aiming at the problem that the existing testability verification test index system does not match the requirement of testability verification of equipment under the system of field replaceable module, a testability verification test index system for the new generation equipment electronic system is put forward. Firstly, aiming at the reform of the two-level maintenance support system caused by the system of field replaceable modules, the requirement of testability verification under the system is analyzed. Then, based on the characteristics of the new generation of equipment testability design and the task goal of the two-level maintenance support system, a testability verification index evaluation system is constructed. Finally, a fuzzy hierarchical evaluation model based on the index system of Topsis optimization is established, and the comprehensive evaluation of testability is realized. The analysis of examples shows that the index system is simple and effective, which provides a way to test the new generation of electronic equipment.

Construction of Multilevel Structure for Avian Influenza Virus System Based on Granular Computing.

Exploring the genetic structure of influenza viruses attracts the attention in the field of molecular ecology and medical genetics, whose epidemics cause morbidity and mortality worldwide. The rapid variations in RNA strand and changes of protein structure of the virus result in low-accuracy subtyping identification and make it difficult to develop effective drugs and vaccine. This paper constructs the evolutionary structure of avian influenza virus system considering both hemagglutinin and neuraminidase protein fragments. An optimization model was established to determine the rational granularity of the virus system for exploring the intrinsic relationship among the subtypes based on the fuzzy hierarchical evaluation index. Thus, an algorithm was presented to extract the rational structure. Furthermore, to reduce the systematic and computational complexity, the granular signatures of virus system were identified based on the coarse-grained idea and then its performance was evaluated through a designed classifier. The results showed that the obtained virus signatures could approximate and reflect the whole avian influenza virus system, indicating that the proposed method could identify the effective virus signatures. Once a new molecular virus is detected, it is efficient to identify the homologous virus hierarchically.

基于改进层次模糊评判的智能变电站二次系统状态评估

针对智能变电站各二次设备故障机理复杂、具有不确定性、难以有效评估的问题，提出了基于改进层次分析法和模糊评判理论的智能变电站二次系统综合评估方法。以运行检修规程、测试技术规范为基础，综合考虑运行经验、工作环境和检修记录，建立二次设备状态定量和定性评估指标体系，并根据各指标的相对重要性赋予相应权重；通过半梯形分布函数构建状态指标评分模型，并引入相对劣化度来表征二次设备状态转化程度的隶属函数，进而建立层次模糊评判矩阵；由此，建立基于改进层次模糊评判的智能变电站二次系统状态评估模型。实例分析表明该方法有效可行，为智能变电站二次系统健康状态评估提供了新的思路。 For smart substation secondary equipments’ failure mechanism are complex, uncertain and diffi-cult to be effectively evaluated, a comprehensive evaluation method based on improved analytic hierarchy process and fuzzy synthetic evaluation is proposed in this paper. On the basis of run maintenance procedures and test specification and taking operating experience, work environment and maintenance records into consideration, this paper establishes the quantitative and qualitative state evaluation index system of secondary equipment and gives the corresponding weight according to the relative importance of each indicator. Through building the scoring model of state indicator by the semi-trapezoidal distribution function and introducing the relative deterioration degree to characterize the membership function of secondary equipment status transformation degree and to establish a hierarchical fuzzy evaluation matrix. Thus, a condition assessment model of smart substation secondary system based on improved analytic hierarchy process and fuzzy synthetic evaluation is established. Example analysis shows that this method is effective and feasible and provides a new way for the health assessment of smart substation secondary system.

A Fuzzy Principal Component Analysis Approach to Hierarchical Evaluation Model for Balanced Supply Chain Scorecard Grading

Effective performance management is critical to efficient supply chain management systems with the balanced scorecard as well as to effective evaluation models and their algorithms. Problems often encountered in the modeling of the balanced scorecard for supply chain are how to overcome the multicollinearity in its index system. In this paper, a new fuzzy hierarchical evaluation model featuring the criteria of the balanced supply chain scorecard is proposed and analyzed on the basis of data about Chinese firms. The model, based on the fuzzy weight’s matrix derived from a fuzzy principal component analysis, overcomes the multicollinearity in the index system of the balanced supply chain scorecard. This method proves good performance in determining the weight distribution matrix of the fuzzy hierarchical evaluation and improves the evaluation accuracy and generalization as shown for a group of firms in western China.

Damage-Relevant Evaluation in Appraising Dangerous Buildings

Due to the relevance of item damages on a building, a power transmission mechanism that can reflect the damage relevance is introduced into the dangerous houses hierarchical fuzzy evaluation model (JGJ125-99). The proposed item description model uses a force-delivery tree to describe the relevant relationship among items. A new risk rating formula and a method to calculate the model parameters are addressed. The practical result by applying the approach to Ezhou city primary school in Hubei province shows that the item description model can reduce error judgments in appraising dangerous buildings.

A fuzzy regression approach to a hierarchical evaluation model for oil palm fruit grading

Measurement of quality is an important task in the evaluation of agricultural products and plays a pivotal role in agricultural production. The inspection process normally involves a visual examination according to the ripeness standards of crops, and this grading is subject to expert knowledge and interpretation. Therefore, the quality inspection process of fruits needs to be conducted properly to ensure that high-quality fruit bunches are selected for production. However, human subjective judgments during the evaluation make the fruit grading inexact. The objectives of this paper are to build a fuzzy hierarchical evaluation model that characterises the criteria of oil palm fruits to decide the fuzzy weights of these criteria based on a fuzzy regression model, and to help inspectors conduct a proper total evaluation. A numerical example is included to illustrate the computational process of the proposed model.

The fuzzy weighted average within a generalized means function

The fuzzy weighted average is widely used to solve hierarchical evaluation problems, including fuzzy consideration for the operations of scoring, weighting and aggregating. Previous works considered the fuzziness of score and weight, and used the additive function to aggregate these weighted scores. This study considers the aggregation operator also as a fuzzy variable, and uses a generalized means function to fuzzify the aggregation operator within a fuzzy weighted average. In practice, the proposed model not only considers both the relative important of the criteria and its achieved performance, but also conveys the influence of the DM’s (Decision Maker’s) evaluation attitude. Thus the proposed model can flexibly reflect any DM’s evaluation attitude, such as open, neutral or rigorous. Thereby, the proposed model can make an objective evaluation that approaches a real decision making situation, and thus has the potential to be a useful management tool for improved resolution of fuzzy hierarchical evaluation problems.