First-level Indicators Research Articles

Evaluation of China’s Digital Economy: A Case Study using Entropy and TOPSIS

Recently, digital economy in social science has become increasingly significant. A well-constructed evaluation structure could generally and promptly describe and reveal its overall social digitalization development. Building on existent researches, this paper improves the evaluation system, which comprises four first-level indicators and thirty-one second-level indicators. Notably, this paper innovatively incorporates higher education into digital innovation of the evaluation. The Entropy method is utilized to assign weights to various indicators in an objective way, with employing the TOPSIS approach to prioritize the development of digital economy in places based on the closeness to the ideal solution. By analysing related data related from 31 provinces in China between 2017 to 2021, this paper greatly finds: Firstly, the development of digital economy vary significantly across provinces, with most provinces at a relatively poor level, indicating considerable potential for overall growth; Secondly, Guangdong, Jiangsu, Zhejiang, and Shandong consistently ranked in the top four from 2017 to 2021, reflecting their specific development attributes and their emphasis on digital economy; Thirdly, significant disparities exist both between regions and among provinces. Consequently, this paper suggests establishing a comprehensive national digital economy development plan, formulating region-specific digital economy policies tailored to local conditions, and encouraging leading provinces to actively share experiences with other provinces.

Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology

Abstract Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance. College logistics management is an indispensable part of the daily operation of colleges and universities, and the high and low level of college and university logistics management directly affects the strength of the overall strength of colleges and universities. This paper puts forward the optimization strategy of college logistics management from three aspects: leadership level, personnel quality, and work system. It adopts digital twin technology to realize the construction of fine management mode and, in order to effectively assess the efficiency of college logistics management, explores the level of college logistics management by constructing the FAHP model. Finally, using M College as the research object, the refined management model of college logistics based on digital twin technology is analyzed. Management system and execution have a weight value of 0.3762 among the first-level indicators, which is higher than the other two factors. The hierarchical total ranking is used to identify the factors that have a greater impact on college and university logistics efficiency in the second-level indicators. The comprehensive score of logistics management efficiency for college M is 92, which belongs to the range of excellent grades. Therefore, for the level of fine management of college logistics, the management system and execution is the key, which can be realized by strictly charging according to the regulations, sound rules and regulations and regular training of relevant managers.

Construction of Hospice Care Evaluation System for Terminally Ill Patients in ICU.

Terminally ill patients can benefit from hospice care, which specifically addresses the needs of patients and families affected by terminal illness. However, there is a lack of standardized evaluation criteria to assess the quality of hospice care for terminally ill patients in the ICU, and it is impossible to evaluate the service quality of hospice care. To use the Delphi method to construct a hospice care system for terminally ill patients in ICU that meets clinical needs, and to provide theoretical support for nursing decision-making of terminally ill patients in clinical ICU. Obtain relevant literatures by entering specific key words into the database, the hospice care nursing system for terminally ill patients in ICU was preliminarily drawn up by literature analysis, and 24 experts in this field were consulted for 3 rounds by Delphi method to discuss the development status of hospice care and finally establish the hospice care nursing system. In the three rounds of letter inquiries, the positive coefficients of experts were all high, the expert authority coefficient (Cr) were 0.864, 0.849, 0.832, and the expert opinion coordination coefficient(W) were 0.186, 0.319, 0.224; The system includes 8 first-level indicators, 27 second-level indicators and 9 third-level indicators. In this study, three rounds of Delphi consultation methods were used to construct an evaluation index system for the nursing quality of hospice care for ICU patients. The evaluation indicators formulated closely focus on the physiological and psychological characteristics of ICU patients, which can provide a better reference for ICU patients with advanced life in the future.

Exploring the Teaching Mode of Civics and Politics of Implicit Courses in Applied Colleges and Universities under the Background of Industry-Teaching Integration

Abstract The industrial-education fusion The civics and politics teaching system, a combination of ideological and political education, industrial frontier cultivation, and professional competence education, has the potential to foster a synergistic effect and enhance the talent cultivation mechanisms of applied colleges and universities. In this paper, we look at how applied colleges and universities teach implicit course ideology and politics in a world where industry and education are coming together. To do this, we came up with a design scheme for implicit course ideology and politics, which will be used as a guide for teaching engineering majors at an applied college and university in Hangzhou starting in 2022. An evaluation system of implicit course Civics teaching effect based on AHP hierarchical analysis index empowerment is built to measure the quality of Civics teaching and find out how well this paper’s program works. The comprehensive evaluation of five first-level indicators for college engineering majors yields scores of 8.60, 8.42, 8.51, 8.41, and 8.56 points, with three rated as excellent, two as good, and a total score of 8.50 points rated as excellent. The results reveal a significant difference between the experimental and control classes in five categories following a controlled test, with the average of the five post-test Civics dimensions being 11.43 points higher than that of the control classes. The implicit curriculum civics teaching model proposed in this paper is able to promote the overall improvement of students’ civics literacy. This study has provided a useful exploration of the innovation model of curriculum civics teaching and provides a reference for the construction of curriculum civics in applied colleges and universities.

Research on the reform and effect evaluation of three-dimensional motion animation blended teaching based on fuzzy evaluation model

Abstract This paper combines the teaching of a 3D animation course with the blended teaching mode and constructs a framework for the design of 3D animation blended teaching reform. Based on the fuzzy comprehensive evaluation algorithm, we adopt qualitative and quantitative methods to determine the evaluation index system of teaching reform, divide the course teaching objectives, teaching content, learning resources, online learning and teaching design and classroom organization into five first-level indexes, establish the weights of the evaluation index system, and complete the construction of the fuzzy comprehensive evaluation system of 3D animation blended teaching. Examine the design and teaching effects of 3D animation that blends learning from different dimensions, and examine the correlation between learners’ multidimensional recognition of teaching reform and its learning impact. By combining the weights of each index, the fuzzy comprehensive evaluation results are obtained by determining the affiliation degree of each index using the fuzzy statistical method. The operation results show that the fuzzy comprehensive evaluation scores of the five first-level indicators of teaching reform are 0.754546, 0.69943, 0.638926, 0.66888, and 0.5966. It can be seen that the comprehensive evaluation results of the five aspects have achieved good results. The evaluation of teaching reform’s effects can be targeted and feasible using a fuzzy comprehensive evaluation model.

Optimization of Urban Science and Technology Innovation Performance Assessment Model - Based on VAR Methodology Perspective

Abstract Conventional science and technology performance assessment methods and indicators can no longer meet the current needs of urban science and technology innovation performance assessment, and innovative research is urgently needed. In this study, the four elements of innovation input, innovation process, innovation output, and innovation guarantee are taken as the first-level indicators of the urban science and technology innovation performance assessment index system. The G1 entropy value correction method is used to assign weights to the urban science and technology innovation performance assessment index system to reduce subjective arbitrariness. Finally, the specific situation of innovation elements and innovation performance in S city was selected, and the influence relationship between innovation elements and innovation performance assessment was analyzed using a vector autoregressive model. The results show that the method of assessing the city’s science and technology innovation performance based on the VAR model is simple and easy to operate, the confidence coefficient of the assessment model is more than 0.7, and the mean value of the validity CVR is 0.703. The assessment results have a high degree of credibility and validity and effectively promote the region’s scientific and technological self-reliance and self-improvement.

A Study on the Innovation of University English Teaching Mode by Integrating OBE and Mixed Reality Technology

Abstract The rapid development of virtual reality and augmented reality technology is fueling the popularity of mixed reality technology. Mixed-reality technology is becoming more and more widely used in education. The study combines mixed-reality technology with the OBE education concept and applies it to college English teaching. Human-computer interaction, graphic processing, collision detection, and other technologies construct a university English teaching system based on OBE and mixed reality. Evaluate the teaching quality of this university English teaching mode and explore the teaching effect of this mode using OBE and mixed reality through pre- and post-test comparisons. The overall score for university English teaching quality is 4.459, with a good overall level. The scores of the first-level indicators are ranked from highest to lowest: teaching process (4.682) > teaching design (4.654) > teaching effect (4.375) > teaching impact (4.124). The pre-test sig. The value of the students in the experimental group and the control group was 0.962, and the post-test sig. The value was 0.001. The difference between the pre-test and post-test scores of the experimental group on the dimensions was higher than that of the control group by 4.69, 3.74, 2.70, 2.50, and 13.63 points, respectively. The university’s English teaching model based on OBE and mixed reality has a significant effect on improving students’ English proficiency. The score difference between OBE and Mixed Reality-based university English teaching mode and traditional English teaching mode in terms of the sense of experience ranges from 1.33 to 3.01. In addition to the sense of authenticity, the sense of experience of OBE and Mixed Reality-based university English teaching modes is significantly better than that of traditional English teaching modes.

Research on Risk Assessment of Internet Finance

Internet finance integrates online transaction data generated in different social networks, and completes credit consumption, loans and other lending behaviors by means of electronic payment through the research and judgment of customer credit, so that people can enjoy financial services while dealing with various problems. This paper takes Internet finance as the research object, analyzes it as a whole business form, and adopts a comprehensive evaluation method different from the traditional single factor analysis method, organically combines hierarchical analysis and fuzzy mathematics, effectively considers different types of risks in Internet finance, and adopts corresponding grade classification, so as to avoid too thin and idealized research. The results of empirical research show that China's Internet finance is generally in a state of high risk. Among these risk factors affecting Internet finance, the impact of network security is particularly prominent. This paper constructs the framework of risk management from the perspective of six first-level indicators, and puts forward corresponding suggestions and solutions.

Construction of nursing-sensitive quality indicator system for cardiac rehabilitation of patients undergoing percutaneous coronary intervention based on structure-process-outcome model

BackgroundCoronary heart disease (CHD) is a cardiovascular disease with high mortality. At present, percutaneous coronary intervention (PCI) is considered as the main effective treatment for CHD due to less trauma, shorter course of treatment, and better curative effect. However, PCI alone is not a permanent cure, so cardiac rehabilitation (CR) is needed for a supplement. Nowadays, the evaluation of the nursing-sensitive quality of CR after PCI focuses on the outcomes of patients, lacks a complete evaluation indicator system, and is prone to problems such as nursing management imbalance.ObjectiveA scientific, sensitive, comprehensive and practical nursing-sensitive quality indicator system based on the structure-process-outcome model was constructed to provide a reference for evaluating nursing-sensitive quality of CR after PCI.MethodsFirstly, through literature analysis and semi-structured interview, the indicator system was collected, screened and determined. Then, the framework of the indicator system was established, and the draft of nursing-sensitive quality indicator system of CR after PCI was formed. Subsequently, the nursing-sensitive quality indicator system of CR after PCI was initially established using Delphi method. Finally, the specific weight was determined by analytic hierarchy process (AHP), and the nursing-sensitive quality indicator system of CR after PCI was established and perfected.ResultsTwo rounds of expert consultations were separately given 15 questionnaires, and all these questionnaires were returned, with a questionnaire response rate of 100%. Such result indicated that experts were highly motivated. Besides, the authoritative coefficients for two rounds of expert consultations were 0.865 and 0.888, and the coordination coefficients were 0.491 and 0.522, respectively. Hence, the experts’ authority and coordination were high and the results were reliable. After the second round of expert consultation, the nursing-sensitive quality indicator system of CR after PCI was established, eventually. This system consisted of 3 first-level indicators (structural indicator, process indicator and outcome indicator), 11 s-level indicators and 29 third-level indicators.ConclusionA relatively complete and reliable nursing-sensitive quality indicator system of CR after PCI has been established in this study. Such system is scientific and reliable and can provide a reference for the evaluation of clinical teaching quality of CR after PCI.

Construction of The Evaluation Index System for The Implementation of College Students' Physical Health Promotion Policies in Heilongjiang Province

Background and Aim: Since the 19th National Congress of the Communist Party of China made significant arrangements for the Healthy China strategy, policies for promoting students' physical health have been introduced in a "burst" manner, and the promotion of students' physical health has been increasingly valued and the main objective of this study was Construction of an evaluation system for the execution of policies for promoting students' physical health in universities in Heilongjiang Province. Materials and Methods: The initial indicators of the evaluation system for the implementation of the physical health promotion policy of college students in Heilongjiang Province were selected by using research methods such as literature review, field survey, etc. The evaluation index system for the implementation of the physical health promotion policy of college students in Heilongjiang Province was finally constructed through the mathematical statistics method and the 3 rounds of the Delphi method, and the expert opinions were standardized using the entropy weight method combined with the mathematical statistics method, Calculate the weights of various levels of indicators in the evaluation system for the execution of physical health promotion policies for college students in Heilongjiang Province. Result: (1) The evaluation system for the execution of policies to promote the physical health of college students in Heilongjiang Province consists of 5 first-level indicators, 9 second-level indicators, and 26 third-level indicators. The first level indicator with the greatest weight was executive subject consensus (0.512) and the indicator with the least weight was policy implementation personnel value orientation (0.114). The secondary level indicator with the greatest weight was the material allocation of the physical health promotion policy (0.569) and the indicator with the least weight was the value orientation of executive staff (0.114). 26 third-level indicators and weight coefficients are constructed based on first-level and second-level indicators. Conclusion: The total evaluation system for the execution of policies to promote the physical health of college students in Heilongjiang Province consists are 40 indicators. According to expert evaluation, it was found that the index evaluation system is reasonable, scientific, and rigorous, forming a relatively complete evaluation system for the execution of policies to evaluate the physical health of college students in Heilongjiang Province.

Program Construction of Tennis Service Training on Student’s Tennis Classes at Xi’an Physical Education University

Background and Aim: The tennis serving technology is the most difficult technology for students to learn and master. This research aimed to construct a tennis serving training program for Xi’an Physical Education University students. Materials and Methods: The participants of this research were 36 people, through purposive sampling, the participants included 5 experts to conduct preliminary expert interviews, 7 experts to test the reliability and validity of the index with IOC, 15 experts to reach an expert consensus on the tennis service training program with Delphi method, 9 experts to discuss the tennis serve training program with a focus group. Using mean, standard deviation, median value, and coefficient of variation to analyze the data. The IOC value of the tennis serve training program was 0.94. Result: The result shows that the scientific nature of the training program index of the tennis special class students of Xi'an University of Physical Education, the rationality of the time proportion allocation, the suitability of the training content intensity, the comprehensiveness and logic of the tennis serving training program have been recognized and supported by the experts. Finally, 3 first-level indicators, 13 second-level indicators, and 35 third-level indexes were obtained. Conclusion: The core concept and technical training in the first level index is the basis of mastering the tennis serve, physical training and psychological training are fundamental to strengthening and improving the tennis serve technology, to improve the tennis serve each is indispensable. According to the individual differences of students to carry out a reasonable training program, we need to conduct comprehensive learning and training to improve the serving level of college tennis students.

A Development of the Evaluation Indicator for the Sustainable Development of Elementary School Basketball in Anhui Province

Background and Aim: School basketball in Anhui Province is one of the earliest provinces approved by the Ministry of Education. Given the important role of school basketball in Anhui Province in the reform of physical education and the fundamental role of school basketball in the selection of competitive basketball reserves, it is crucial to guide the scientific and sustainable development of school basketball in Anhui Province. Thus, the research aimed to develop a comprehensive and scientific evaluation indicator system for the sustainable development of school basketball in Anhui Province. Materials and Methods: The main research instrument of this research was expert questionnaires. The population is 31 experts. The Delphi technique was used to select 19 experts in the field of school basketball to determine the final indicator system. Using the AHP method, the researchers calculated the weights for each indicator in the evaluation indicator system based on the experts' judgments. This process contributed to an objective and quantitative determination of the indicators' importance. Results: The scientificity and applicability of the research process and results were validated through a focus group. Data analysis uses the mean, standard deviation, coefficient of variation, frequency statistics, and Kendall's concordance coefficient test work. The research determined the evaluation indicator system through two rounds of expert consultation, resulting in four first-level indicators, 11 second-level indicators, and 35 third-level indicators. In this research, the hierarchical analysis method (AHP) was used to determine the weights of the indicators at all levels. The research findings indicated that the developed evaluation indicator system received recognition and support from the experts in terms of its scientificity, rationality of evaluation standards, and comprehensiveness. Conclusion: The system provided an effective evaluation tool for assessing the sustainable development of school basketball in Anhui Province, guiding relevant decision-making processes, and offering reference points for improvements.

Construction of a standardized training system for hospital infection prevention and control for new medical staff in internal medicine ICUs based on the Delphi method

In China, studies have shown nosocomial infections contribute to increased mortality rates, prolonged hospital stays, and added financial burdens for patients. Previous studies have demonstrated that effective infection control training can enhance the quality of infection control practices, particularly in intensive care unit (ICU) settings. However, there is currently no universally accepted training mode or program that adequately addresses the specific needs of ICU medical staff regarding nosocomial infection control. The objective of this study was to develop a standardized training system for preventing and controlling hospital-acquired infections among new medical staff in the internal medicine ICU. Our methodology encompassed an extensive literature review, technical interviews focusing on key events, semi-structured in-depth interviews, and two rounds of Delphi expert correspondence. We employed intentional sampling to select 16 experts for the Delphi expert consultation. Indicators were chosen based on an average importance score of >3.5 and a coefficient of variation of <0.25. The weight of each indicator was determined using the analytic hierarchy process. The efficacy of the two rounds of questionnaires was also evaluated. Our findings revealed that the questionnaires achieved a 100% effective recovery rate, with expert authority coefficients of 0.96 and 0.90. The Kendall coordination coefficients for the first-, second-, and third-level indicators in the initial round of expert consultation questionnaires were 0.440, 0.204, and 0.386 (P < 0.001), respectively. In the second round of expert consultation questionnaires, the Kendall coordination coefficients for the first, second, and third-level indicators were 0.562, 0.467, and 0.556 (P < 0.001), respectively. The final training model consisted of four first-level indicators (hospital infection prevention and control training content, training methods/forms, assessment content, and evaluation indicators), 26 second-level indicators, and 44 third-level indicators. In conclusion, the proposed standardized training system for infection prevention and control among new medical staff in the internal medicine ICU is both scientifically sound and practical, which can contribute to improved patient safety, reduced healthcare costs, and enhanced overall quality of care in internal medicine ICUs. Moreover, it can serve as a framework for future training projects.

Evaluation elements of regional balanced development of compulsory education combined with the deviation-maximisation approach

Abstract This paper constructs an algorithm-based evaluation model of compulsory education that combines the deviation maximization method to promote the balanced development of regional compulsory education. We determine if deviation maximization applies to evaluating the balanced development of compulsory education by analyzing its application scope. The evaluation objects are ranked when combined with the combination assignment method. The regional evaluation system for the balanced development of compulsory education uses the algorithm and evaluation problem description method. YaaHP software calculates each index’s final weight results to evaluate the balanced development of compulsory education. According to the results, the first-level indicators of evaluating balanced development of compulsory education have weights of 0.363799, 0.204804, 0.339897 and 0.091510, respectively. This study provides effective reference data for the development of compulsory regional education.

Strategies for Civic Education in Colleges and Universities Based on Deep Learning Methods

Abstract To solve the employment problems of college students, this paper integrates Civic Education and employment education, reforms the Civic Education of colleges and universities based on deep learning, and constructs the evaluation index system of Civic Education of colleges and universities to improve the employment and entrepreneurship rate. Based on the established evaluation indexes, a comprehensive evaluation model for college Civic Education based on deep learning is constructed by combining principal component analysis and gray correlation degree. The strategy evaluation is comprehensive by screening and assigning weights to the evaluation indexes. The results show that the maximum value of the gray comprehensive correlation degree is 0.93, and the correlation degrees of five first-level indicators are 0.18, 0.19, 0.2, 0.21 and 0.15, respectively. The quality of college Civic Education based on deep learning is superior and can enhance employment and entrepreneurship abilities.

Evaluation of new media communication effect of Sika deer enterprises based on Random forest model

Abstract This paper applies the random forest algorithm to classify the communication effect of the new media of Meihuahuas enterprise, based on the communication effect setting rules, so that the training samples of the communication effect evaluation are split according to the feature attributes and recursively generated a tree. By introducing cost-sensitive factors, the classification accuracy of effect evaluation is improved. Combining the cost-sensitive random forest algorithm, the communication effect evaluation index of Meihualu Enterprise’s new media is constructed. According to the results, the Meilu enterprise’s overall new media communication effect is excellent. The audience can be guided to consume to a certain extent by it. The score of the influence of the new media communication of Meilu enterprise on the audience’s behavior is 0.646. In evaluating the first-level indicators of the new media communication of Meilu enterprise, the scores of communication power, influence, and credibility are all greater than 0.1, and the scores of the three are 0.1143, 0.1746, and 0.1012, respectively.

Construction and Application of Fuzzy Comprehensive Evaluation Model for Rockburst Based on Microseismic Monitoring

Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the “double high” risk evaluation of microseismic events. The 43 evaluation indexes of rockburst were optimized into eight indexes by using the expert scoring method. Considering the eight indexes as the basic events and the “double high” risk of microseismic events as the top event, the “double high” accident tree of microseismic events was established. According to the qualitative analysis results of the accident tree, the microseismic activity evaluation index was determined, and the “double high” risk evaluation index system was constructed for microseismic events. The system included three first-level indicators and eight second-level indicators. The fuzzy hierarchical comprehensive evaluation model was used to evaluate the “double high” risk of microseismic events in the Yanbei Coal Mine. In this paper, a microseismic monitoring and evaluation index model is constructed to simplify the existing evaluation system, which is convenient to effectively establish the connection between microseismic monitoring data and rockburst index and provide important theoretical support for underground monitoring and rockburst prevention.

Developing a Quality Evaluation Index System for E-Consultation Doctor-Patient Communication Using the Delphi Method.

E-consultation medical services have become popular globally, which offers patients more options, regardless of time or location. However, research indicates a prevalent issue with the communication quality in e-consultations, leading to sub-optimal patient experiences. This study aims to design an evaluation system for e-consultation quality. The developed scale guides operators in improving services and users in assessing their experience. It aids in selecting e-consultation services, saving costs, and assisting doctors in making informed decisions. This study combines existing scales, literature analysis, and expert consultation to form preliminary evaluation indicators. Fourteen experts were invited using stratified purposive sampling. Two rounds of Delphi method were conducted to exclude indicators that did not meet basic conditions. The final evaluation system was determined through expert discussions and revisions. The Analytic Hierarchy Process (AHP) quantified indicator weights. Both rounds of the questionnaire saw compelling response rates of 100% (14 out of 14) and 92.86% (13 out of 14), respectively. Meanwhile, the Expert Authority Coefficient (Cr) was recorded at 0.89 and 0.88, respectively, while the Kendall Consistency Coefficient (Kendall W) for all level indicators fluctuated between 0.133 and 0.37 (P<0.05). The ultimate indicator system formulated includes three primary indicators, ten secondary indicators, and thirty-two tertiary indicators. The highest to lowest weighted first-level indicators were 'Joint Decision-Making between Doctors and Patients' (0.6232), 'Patient Responsiveness' (0.2395), and "Interpersonal Relationship between Doctors and Patients" (0.1373). Weights for the second-level and third-level indicators were also determined. A scientific scale for e-consultation quality evaluation has been created, which effectively captures the essence of online medical communication and patient experiences. It enriches the theoretical framework for evaluating e-consultation quality, broadens perspectives in Internet medicine, provides practical guidance for network medical service managers and users and the development of the "Internet + medical health" service model.

Research on the construction of ecological mechanism and sustainable development of university English teaching based on multi-objective planning

Abstract This paper firstly addresses the construction of the university English teaching ecosystem and gives the basic structure of the university English teaching ecological mechanism. Secondly, the multi-objective planning model is used to analyze the influencing factors of the university English teaching ecological mechanism, and the index evaluation system of the university English teaching ecological mechanism is constructed. Finally, to verify the effectiveness of the university English teaching ecological mechanism, the entropy weighting method was used to determine the index weights. The results show that the evaluation ratio of the first-level indicators with a C grade or above is 89.61%, and the weight values of the top three second-level indicators are 0.865, 0.808, and 0.715, respectively. It shows that multi-objective planning can effectively analyze the influencing factors of the ecological mechanism of English teaching and then promote the sustainable development of English teaching.

The cultivation path of vocational talents in rural revitalization industry based on multidimensional data analysis method in the context of industry-education integration

Abstract This paper firstly analyzes the demand for industrial technical talents and industrial vocational talents training specifications for rural revitalization and proposes a vocational talents training model for the rural revitalization industry based on the integration of industry and education. Secondly, a multidimensional talent training evaluation index system is constructed, and then a network hierarchy analysis of the evaluation index system is conducted using algorithms such as evaluation matrix, entropy value method and game theory combination assignment. Finally, quantitative data analysis was carried out on the indicator weights and the evaluation of indicators using County A of City B as an example. The results show that the overall score of the talent cultivation index evaluation system in County A is 79.96, among which the evaluation scores of first-level indicators are 16.73, 10.56, 21.42, 7.89, 17.06 and 6.30.