Fuzzy Evaluation Algorithm Research Articles

Study on the Path of Enhancing the Effectiveness of College Students’ Education and Management in the Context of Informatization

Abstract To cope with the problems existing in the education and Management of students in traditional colleges and universities, improve the management efficiency and realize the informatization of education management, this study proposes a set of optimization paths for the education and Management of students in colleges and universities. In this paper, an intelligent and diversified education management platform is constructed, aiming to strengthen the operation efficiency of the education management team in colleges and universities. By introducing a fuzzy evaluation algorithm to judge the educational management paths of college students and normalizing the input data, empirical evaluation results are derived. Comparative Analysis of the data in the study showed that the optimized educational management path significantly improved students’ daily behavior and mental health status. Students’ average daily online time was effectively controlled between 5.6 and 10.5 hours, the online period was more in line with the healthy work and rest, and the rates of disciplinary behaviors and Internet fraud victimization decreased respectively. At the same time, students’ mental health and learning effects were also improved. In summary, the education and management path for college students proposed in this paper significantly strengthens the management system and comprehensively cultivates students. It provides an effective informatization strategy for education management in colleges and universities.

Analysis of high quality collaborative development path of university civic education based on Rete’s pattern matching algorithm

Abstract The prerequisites for the separation of fuzzy sets for the assessment of ideological and political education in colleges are first looked at in this essay. Then the implementation of the quality evaluation algorithm is discussed, the factors associated with the system and the corresponding data are selected, then the theoretical domain of the data is defined, the set contained in the theoretical domain is calculated, and the final value of the non-fuzzy values is calculated by the nonfuzzification method. To get the evaluation findings, the evaluation method is then used to build a thorough evaluation factor set and evaluation set, choose the weight coefficients, and create the fuzzy connection matrix. The assessment method is then used to examine the existing state of political and ideological education, identify its challenges, and provide solutions for high-quality growth. In terms of regional development, the eastern area is ranked 0-6, the middle region −2 to 3, and the western region −2 to 2 in terms of ideological and political development. 80% of instructors agree that learning should incorporate the primary job of building moral education when it comes to growth approaches. 39% think that the curricular strategy needs to be improved. 54% of respondents think that teaching practices should be standardized in schools. 44% think that teaching strategies need to be improved. Based on the Rete pattern matching algorithm and fuzzy evaluation algorithm, it is important for the development and construction of college ideology and politics.

Analysis of response strategies for triple La Niña events based on fuzzy evaluation algorithm

The climate anomalies caused by La Niña events have caused some economic losses and human casualties in several regions around the world. In this paper, we first visualize and analyze the climate data of four representative countries to obtain the impact of La Niña on different countries. Then a BP neural network model is built to predict the probability of La Niña events in different regions. Finally, taking six different provinces in southern China as examples, an indicator system is established, a fuzzy comprehensive evaluation algorithm is used to summarize the impacts of different regions and indicators under a La Niña event, and practical response strategies are proposed.

Fuzzy Evaluation Algorithm of Third-Party Scientific and Technological Achievements in Library Information Service Aided by Big Data

With the deepening reform of scientific and technological management methods, a new type of third-party scientific and technological achievement evaluation has gradually become a scale. Through the analysis of the current situation and dilemma of the evaluation of third-party scientific and technological achievements, this paper points out that the big data-assisted library can play a positive role in the authenticity, professionalism, scientificity and standardization of the third-party evaluation, and discusses the third-party evaluation-oriented evaluation methods. Contents of library information services. The purpose of this research is to explore and research new information services in which libraries are deeply involved in the evaluation of third-party scientific and technological achievements. By analyzing the problems existing in the evaluation of third-party scientific and technological achievements at this stage, the extension methods of library information services under the demand of third-party evaluation are discussed, and the development strategies of libraries for the evaluation of third-party scientific and technological achievements are put forward.

Feasibility evaluation model of English cultural teaching of medical subjects based on virtual reality technology

In recent years, English has been widely used in medical subjects. As the integration of English into medical classroom teaching is an important trend, the feasibility of implementing this approach to teaching is the focus of this study. The questionnaire survey and subsequent analysis revealed that for students, using virtual reality technology to teach English in medical subjects was feasible and had a positive impact on their learning experience. This article is about examining the feasibility evaluation model of English cultural teaching in medical courses based on virtual reality technology. The survey questionnaire research found that for students, using virtual reality technology to teach English in medical courses has positive impacts on their learning experience and it's feasible to implement this approach. The fuzzy evaluation algorithm is designed and applied to the feasibility evaluation model of English culture teaching. The feasibility evaluation is realized through weight set and fuzzy evaluation matrix. The experimental results show that the feasibility evaluation model of English culture teaching based on virtual reality technology can improve students' English performance and improve the quality of English culture teaching.

Design of Performance Evaluation Algorithm for Diversified Talent Training in Modern Universities Considering Innovative Thinking

The global economic trends and the winds of technological change have elevated the status of integration between industry and education for innovation and entrepreneurship. Technologies and the Internet have significantly changed all aspects of our lives. College education has improved as a result of the enormous benefits of the Internet and big data. Reforms and development have still a lot of application space in the training and practice of educational technology talents of a college education. To improve the performance evaluation capabilities of educational technology experts in Chinese universities through education and “Internet +” has become a challenge that has to be addressed. This article is under such a formal background to have a detailed study about the current college education in China. In this study, an analysis is presented for the performance evaluation of the education technology talent training in modern universities based on big data technology. A fuzzy evaluation algorithm based on composite elements is proposed to evaluate the multielement and multilevel college education system. Experimental results illustrate the feasibility and effectiveness of the proposed algorithm. The proposed method has the potential to solve the complicated performance evaluation problem in colleges.

Research on the Innovation of Music Teaching in Universities Based on Artificial Intelligence Technology

At present, music education in colleges is in a period of rapid development in China. At the same time, music education in universities is facing innovation and reform of teaching modes. How to improve music education in colleges and universities has become an important issue for music teachers in colleges. Music teaching and management activities for students in general universities can enrich students’ talents and expand their knowledge. It can also help them develop a positive emotional psychology and develop positive and healthy character characteristics, both of which are vital for college students’ healthy development. Innovation and modification in music teaching and management activities for students is the only way to increase the quality and effectiveness of music teaching for nonarts students and to promote the overall quality of students. Based on this, this paper proposes an innovative research method of college music teaching based on artificial intelligence technology. The method introduces a fuzzy evaluation algorithm to establish a two-level teaching evaluation index system and calculates the weights of each index based on fuzzy mathematical theory. In data processing, the SVM algorithm in the field of data mining is used to classify all collected teaching evaluation data in advance through supervised learning, which significantly improves the efficiency of data processing. The experimental results show that the model in this paper can well assess the quality of music teaching in colleges and universities and play a role in promoting the progress of music teaching in colleges and universities.

Artificial-Intelligence-Based Fuzzy Comprehensive Evaluation of Innovative Knowledge Management in Universities

By considering the comprehensive impact index ranking of all factors to identify the impact of university innovation knowledge, the group decision-making characteristic root method, decision-making experiment, and evaluation laboratory method are used to analyze the factors that affect the university’s innovative knowledge management ability. The key factors affecting management capabilities have been identified and reviewed to establish measures to enhance the innovative knowledge management capabilities of colleges and universities. Using artificial intelligence-based knowledge management fuzzy evaluation algorithm evaluation model to evaluate the innovation knowledge management of 16 universities, the results obtained are consistent with the actual evaluation results of the year; this result proves the fuzziness of university innovation knowledge management, which is based on artificial intelligence fuzzy. The algorithm is evaluated. The results show that the evaluation model is feasible.

Cloud Computing Image Recognition System Assists the Construction of the Internet of Things Model of Administrative Management Event Parameters.

In order to successfully apply the Internet of Things and cloud computing to the administrative management of spatial structures and realize the systematization, digitization, and intelligence of administrative management, this article draws on research experience in related fields and considers the data characteristics and computing tasks of administrative management. The whole cycle of transmission, storage, postprocessing, and visualization is the main line of research, and a cloud computing-based spatial structure administrative management IoT system is constructed. First, by summarizing the application status of the Internet of Things, the general Internet of Things system is summarized into three levels, and combined with the specific work in the spatial structure administrative management, the overall framework of the spatial structure administrative management of the Internet of Things system is proposed, and the functional sublayers are carried out. Secondly, in response to the above problems, through the traditional image recognition system research and practical application investigation, in order to meet the user's requirements for the computing efficiency and recognition accuracy of the image recognition system, an image recognition system in the cloud computing environment is proposed. It proposes a fuzzy evaluation algorithm of health grade hierarchy analysis optimized for the index system and scoring system and a calculation method that uses time series to identify regular outliers. The optical image pixel-level fusion method and the infrared and visible image fusion method based on complementary information are proposed, and the image fusion software is developed. Finally, in order to enable the application layer to use cluster resources to efficiently and intelligently process massive monitoring data containing redundancy, heterogeneity, anomalies, and many other defects, according to the calculation process of each specific task of data preprocessing and postprocessing in the application layer, demonstrations are made one by one. After analysis, it is concluded that vertical storage of data blocks according to different sensor channels is the optimal strategy.

China’s building energy efficiency standards assessment based on fuzzy evaluation algorithm

Building energy efficiency (BEE) is regarded as the key sector in the world for addressing climate change and energy problems, since buildings consume around one-third of global energy and produce a substantial amount of greenhouse gas emissions. It is important to utilise BEE standards (BEESs) to ensure that cost-effective energy efficiency opportunities are incorporated into new and existing buildings. A key question is how the actual performance of BEESs can be measured so that they are developed in a more sustainable way. An effective method that can evaluate BEESs from both quantitative and qualitative perspectives is provided, and it fulfils a dual step: (a) determining a BEES evaluation indicator system, including technological, economical and social indicators, by identification, correction and selection; and (b) establishing the BEES evaluation model: a fuzzy synthetic evaluation model based on the information entropy theory with the analytic hierarchy process. The developed BEES evaluation model and the case study of China‘s ‘Design standard for energy efficiency of public buildings’ could provide a comprehensive framework to understand the energy efficiency performance of BEESs in China. The results will help improve the management of BEESs and ensure more sustainable building practice.

Hybrid fuzzy evaluation algorithm for power system protection security assessment

System Protection Security Assessment is an important task in modern energy grids to ensure system security at all. The assessment system is particularly challenged by multivariate grid structures caused by volatile renewable infeeds.This paper presents an innovative strategy to evaluate the protection relay coordination of system-wide power grids. A way to calculate the quality of all protection relays based on realistic simulation data and independent of the protection method was sought. The hybrid algorithm consists of two major steps. First, a systematic analysis with various fault simulations is performed and the measurement results of all relays of all simulations are used as database. Subsequently, the use of fuzzy sets allows to express the quality of each relay setting regardless of its type.Specifically developed for the use of an optimization algorithm, finally, a new protection coordination is determined for an adapted version of the IEEE 9 bus grid. The results are validated, discussed and the effectiveness of the methodology compared to conventional setting rules.

Smart city oriented optimization of residential blocks on intensive urban sensing data based on fuzzy evaluation algorithm

The unreasonable planning of land use in residential blocks affects the quality of the city and the comfort and convenience of urban residents. How to improve the vitality of the street from the source is an urgent problem to be solved in urban and rural planning disciplines. This paper selects 18 residential districts in Xi’an, and uses a multivariate linear stepwise regression to establish a relationship model between street vitality and intensive land use indices in three different periods of non-commuting, weekly commuting, and weekend. Using fuzzy evaluation techniques, the degree of land use intensification in different residential blocks was analyzed. Using the relational model and evaluation conclusions, the appropriate range of street vitality in residential blocks was determined, and the constructed model was used to obtain the suitable index range for intensive land use under street vitality. The results show that the street vitality and building density, the proportion of commercial space along the street and the red line width of the street are most affected during the non-commuting period during the week. The street vitality during the commute period is most closely related to the building density, building mix and street network density. Street dynamics are most closely related to building density, building mix, and street red line width during weekends. The conclusions of the study provide theoretical support and data support for the optimization and transformation of land use in residential blocks, and ultimately aim to stimulate street vitality and promote the realization of intensive land use in residential blocks.

The research about micromachining accuracy control based on fuzzy evaluation algorithm

SummaryThe calculation method of nonlinear artificial neural network based on fuzzy evaluation algorithm is introduced. This method is used to evaluate the precision of micro machined machining and to find the influence factors of the precision of micromachining. The traditional machining precision control mainly adopts the linear control strategy, but the micromachining involves the mechanical characteristics of the micro field, and many linear machine adding precision control methods cannot effectively control the precision of the micromachining. Using fuzzy evaluation method, large data cluster training method can be used to fit the control curve of micromachining accuracy. The nonlinear mapping of the fuzzy evaluation algorithm is realized by the large sample training method, and the objective and effective parameter evaluation and precision control of the machining precision in the micro machined field are realized. It is proved that the fuzzy evaluation algorithm can accurately evaluate the precision of micro machined machining. Learning through large data samples can effectively improve the topology practicability and rationality of the algorithm.

Research on mining of medium thick coal seam under pedal condition based on fuzzy evaluation

In a coal mine, the 15# coal seam is first exploited, and the 6# coal above the 15# coal is not exploited, so the 6# coal seam above the 15# coal belongs to the kicking mining. It is necessary to judge the feasibility of the coal seam. On the basis of the analysis of the coal seam occurrence conditions in this mine, the factors affecting the kicking of 6# coal seam are analysed, and the feasibility of the 6# coal bed kicking feasibility is preliminarily judged by using the ratio discrimination method, the “three band” discriminant method, the surrounding rock balance discrimination theory and the mathematical statistics analysis method, and the fuzzy evaluation algorithm is used for the 6# mining. The feasibility of the implementation of coal mining is further demonstrated. The analysis results show that it is feasible to implement comprehensive mechanized coal mining in 6# coal seam.

Design and Application of a Fuzzy Evaluation Algorithm for Stroke Force in Calligraphy Teaching

To solve the problem that the existing electronic word learning device only had a single character writing exercise function, the interaction structure and the stroke force analysis algorithm of Chinese characters were studied from aspects such easy use, smart technology and writing paper simulation. In re-sponse to the problems in the writing process and the limitations of smart guidance, the writing problems occurred the resistive touch screen were ana-lyzed, and a fuzzy evaluation method for Chinese strokes was proposed. The main contents included membership template construction, fuzzy subset se-lection, template parameter generation and evaluation. The experimental re-sult showed that the interaction structure can inherit the advantages of paper writing and exert the advantages of electronic devices. It is concluded that human-computer interaction based on interactive structures can better apply the intelligent machine to character practitioner.

Fuzzy Evaluation Algorithm of Distribution Transformer Based on Adaptive Variable Weight

Fuzzy Evaluation Algorithm of Distribution Transformer Based on Adaptive Variable Weight

Decision Optimization for Power Grid Operating Conditions with High- and Low-Voltage Parallel Loops

With the development of higher-voltage power grids, the high- and low-voltage parallel loops are emerging, which lead to energy losses and even threaten the security and stability of power systems. The multi-infeed high-voltage direct current (HVDC) configurations widely appearing in AC/DC interconnected power systems make this situation even worse. Aimed at energy saving and system security, a decision optimization method for power grid operating conditions with high- and low-voltage parallel loops is proposed in this paper. Firstly, considering hub substation distribution and power grid structure, parallel loop opening schemes are generated with GN (Girvan-Newman) algorithms. Then, candidate opening schemes are preliminarily selected from all these generated schemes based on a filtering index. Finally, with the influence on power system security, stability and operation economy in consideration, an evaluation model for candidate opening schemes is founded based on analytic hierarchy process (AHP). And a fuzzy evaluation algorithm is used to find the optimal scheme. Simulation results of a New England 39-bus system and an actual power system validate the effectiveness and superiority of this proposed method.

Research on Flight Delay Based on Fuzzy Evaluation Algorithm

In recent years, since airspace restrictions and the volume of passenger traffic are increasing, the rate of flight delay is rising rapidly and the contradiction about it is outstanding. Flight delay event not only holds up passengers’ time, but also makes the airlines suffer a lot. So a scientific and reasonable guidance is necessary to reduce the delay effect. This paper firstly establishes a method to assess the degree of airport delays and get all factors which caused the flight delays quantification, and ultimately we offer a proposal to deal with the flow factor, which is the principal reason for flight delays.

Computer Life Assessment and Equipment Identification Based on Fuzzy Evaluation Algorithm

With the development of science and technology, especially the continuously upgrading computer technology , universities appeares large quantities of scrap phenomenon,because of the computer's poor performance. In the scrap computer process, the resources waste phenomenon is more and more serious. Poor performance is not equal to scrap that cant be used, reasonable allocation can realize the waste computer resources being reused. This paper mainly use fuzzy evaluation method to have a deep analysis and study on the reason of resources waste in the process of universities scrap computer, and puts forward some suggestions and measures.