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In the process of frozen food production, its refrigeration system is a typical large inertia, nonlinear, strongly coupled system, which is prone to large overshooting during operation, resulting in cost increase and quality control problems. This paper solves the problem of large overshoot in the digital PID control process by designing a fuzzy control, and designs a practical fuzzy controller so that the design method of the fuzzy PID controller can be realized in the simulation and actual control of the freezing system. A genetic algorithm optimization scheme is also designed for the fuzzy PID control system to optimize the fuzzy controller’s affiliation function, control rules, as well as proportionality and quantization factors, to enhance the model’s dynamic characteristics and robustness. Design of food quick-freezing simulation experiments and use the model in the refrigeration system control in practice, compare the performance of this model with the PID, fuzzy PID model, and found that the temperature difference set value of 4 ℃ and 3 ℃, respectively, the parameters of the traditional PID controller in the commissioning stage of the system after the end of the rectification to remain fixed, which makes the actual quality of the cooling water temperature difference control degradation. And the fuzzy genetic PID controller still has good control quality. In this paper, the model curve converges rapidly, the overshoot is only 3.9%, and the regulation time is only 450M seconds. The designed method of the study is feasible and has high industrial application value.

To screen out excellent jute germplasm resources, improve the information of jute germplasm resources, and increase the utilization rate of jute germplasm resources, this study took 15 jute germplasm resources as the research object, measured their phenotypic traits and fiber strength, and comprehensively evaluated them by using the principal component analysis and the analysis of the value of the affiliation function.The results showed that the coefficients of variation of the phenotypic traits of jute ranged from 4.14% to 159.52%. One of the traits with the highest coefficient of variation was the number of forks, indicating the abundance of genetic variation in jute. In this study, 21 agronomic traits were synthesized into six major components using principal component analysis, and the factor with the highest loading was branching height. Further calculating the value of the affiliation function, the top three varieties are HF2-13, Zhe Xiaoyuan 1, and Fuhuangma 13, which have high potential for development and utilization. By further calculating the value of the affiliation function, the top three varieties are HF2-13 (1), Zhexiaoyuan 1, and Fu Jute 13.These three varieties possess relatively high potential for development and utilization. This study clarified the differences in fiber strength of different germplasm resources, and successfully screened out the germplasm resources with excellent comprehensive performance. This study provides data support and theoretical basis for the improvement of jute varieties, the utilization of germplasm resources and the development of related industries.

Among the many risks faced by colleges and universities, financial risk is one of the most important risks and has a large complexity. This paper evaluates the financial risk management level of colleges and universities using the fuzzy logic method based on the four dimensions of financial risk. The affiliation function is used to quantitatively describe fuzzy logic, and weighted summation is used to ensure the accuracy of fuzzy propositions. After selecting the evaluation indexes, the weights of the evaluation index system are determined, and a comprehensive evaluation system for financial risk management of colleges and universities is constructed. Taking Q colleges and universities in G city as the research object, the comprehensive evaluation coefficient of financial risk management of the subject colleges and universities is calculated, and the average value of the extensive risk coefficient of the subject colleges and universities in 2015–2017 is between 0 and 0.4, which belongs to the level of significant risk. The test university ranked second among 7 universities, but the comprehensive score index coefficient is 0.4898. However, there is still a large financial risk possibility. We need to formulate a corresponding risk management policy slightly.

This paper describes the complexity and uncertainty of traditional culture and kindergarten drama and evaluates the impact on the integration by providing a reasonable measure of the degree of fuzziness of the fuzzy numerical analysis algorithm. Using the affiliation function for traditional culture and kindergarten theater for measurement, the fuzzy set affiliation function curve determines the corresponding element of the center of gravity of the theater, and that traditional culture element is used as the exact output value. It was found that the proportion of kindergarten drama education activities in appreciating drama works accounted for 56.75%, and the corresponding standard deviation in feeling traditional culture was the highest at 3.916. The importance of drama education activities with traditional culture as a carrier in the core literacy of young children cannot be ignored.

To investigate factors influencing the seed germination of Sichuan pepper ( Zanthoxylum armatum DC.) and determine the optimal germination method, this study used an L 16 (4 3 ) orthogonal test. The effects of compound treatments, including 2.5% sodium carbonate degreasing time, indole acetic acid (IAA) concentration, and IAA soaking time on seed germination were examined. The results indicated that 2.5% sodium carbonate degreasing time was the primary factor affecting the germination rate and vigor index of the seeds. IAA concentration primarily affected the germination index and the duration of germination, whereas IAA soaking time primarily influenced the time lag of germination. In addition, the 2.5% sodium carbonate degreasing time had a significant effect on the germination rate; IAA concentration significantly impacted the germination index; and IAA soaking time had a significant effect on both the germination index and the time lag of germination. Through the analysis and evaluation of the membership function, the optimal treatment combinations for seed germination were determined to be a 24-hour degreasing time with 2.5% sodium carbonate, an IAA concentration of 200 mg·L −1 , and an IAA soaking time of 12 hours. This study provides a valuable reference for the future propagation of Zanthoxylum armatum DC.

Plant-based aquatic environmental assessment programs have been used to evaluate ecosystems globally. However, few studies have reported relationships between the physical and chemical factors of water environments in artificial wetlands alongside mangrove community plant diversity and growth. Here, 11 representative plant community and water environments were surveyed in the Nansha coastal wetland in Guangzhou using field surveys of background and control sections. Membership function analysis was used to comprehensively evaluate the environmental quality among different communities, while multiple linear stepwise regression analyses were used to identify relationship models for each factor. Eight species of mangrove plants belonging to seven families and eight genera were identified in the wetlands; in addition, 52 species of scrub plants belonging to 30 families and 43 genera were identified, with the largest family being Bromeliaceae. Redundancy analyses indicated that the NH 3 -N, NO 3 -N, TP, BOD 5, and Chl a contents were the major influences on plant diversity. Lastly, the ecological qualities of Kandelia obovata , Aegiceras corniculatum , Bruguiera gymnorhiza , and Pongamia pinnata communities were higher based on composite wetland indicators. Evaluating mangrove plant community interactions with aquatic environmental factors is critical for understanding mechanisms of species coexistence, biodiversity maintenance, and forest management. The plant community analysis described here provides a baseline framework for improving plant diversity and environmental factor monitoring in mangrove communities. Further, the results also provide a basis for considering the importance of biodiversity conservation and sustainable water use in the coastal wetlands of Nansha.

Under the dual-carbon background, green building is a revolution in the development process of the construction industry, which has a far-reaching impact on the transformation of people’s concept of life and employment. This paper is oriented to the characteristics of the traditional construction industry and constructs the training mode for innovative green building professionals based on professional setting and practical ability. To verify its effectiveness, the fuzzy comprehensive evaluation method is utilized to determine the affiliation function and construct the evaluation system for talent cultivation mode. The evaluation index weights are determined using the improved entropy weight method at the same time. In the job demand analysis, the demand for sustainability design positions has grown the most, rising from 1,003 in 2005 to 5,172 in 2020, which is 5.16 times the original number. It shows that the number of positions related to low-carbon energy in the construction industry is increasing. In addition, from the perspective of talent cultivation mode, the average difference between the two different construction talent cultivation modes in the talent cultivation concept is the largest, .911. The average difference between the two modes in terms of students’ sense of identity is 1.345, and the significance of the difference is 0.000<0.005. Therefore, the green construction talent cultivation mode constructed in this paper can effectively strengthen the students’ practical ability of green construction and adapt to the current status quo of construction industry positions. Adjust to the current status of construction industry positions.

This paper first introduces the use of data mining technology in the development of the traditional culture of martial arts. This paper begins with the optimized FCM algorithm, obtains the fuzzy pattern through the affiliation function, and builds a prediction model using the clustering algorithm of fuzzy time series. The historical development trend of Chinese martial arts traditional culture is predicted using this model. The results show that the process of defuzzification prediction divides the literature on the development of traditional culture of martial arts into five groups, and the five clustering centers are A1: 3055-4693, A2: 5603-6919, A3: 6388-7497, A4: 7984-8150, and A5: 8876-9483. The predicted values of the FCM algorithm model for the literature of the first group to the fifth group are respectively 3735.3, 5374.05, 6351.57, 7048.56, and 9144.31. The average error of prediction is 0.134, 0.062, 0.094, 0.126, and 0.025, respectively. The average prediction accuracies of the predictions are all >85%, and in particular, the accuracy of predicted values for the fifth group reaches 98%. It can be seen that the prediction model proposed in this paper is effective in predicting the historical development trend of the traditional culture of martial arts.

This paper first outlines the concept of teaching Japanese grammar according to the Japanese language talent cultivation standard and the current dilemma in teaching Japanese language in colleges and universities. Secondly, on the basis of big data technology, considering the effective availability of the initial data of Japanese grammar, it is necessary to preprocess the language grammar learning data and, at the same time, according to the fuzzy comprehensive evaluation, determine the Japanese grammar evaluation affiliation function. Then, for the problem of an incomplete and inaccurate traditional fuzzy comprehensive evaluation, they proposed to construct a comprehensive evaluation model of the Japanese linguistics grammar system based on the bat algorithm and carried out research and analysis on the Japanese linguistics grammar system. The results show that on the evaluation model, the comprehensive evaluation score of the Japanese language grammar system is C=2.65, which belongs to the E2 level. On the statistical analysis, the mean value of all the scores of the concise class was higher than that of the standard Japanese class, and all of them showed significant differences (p=0.002, 0.000, and 0.047, all less than 0.05).

In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important information. In order to overcome this drawback, on the basis of FDE, this paper introduces the concept of multiscale process and proposes multiscale FDE (MFDE), based on which an MFDE-based feature extraction method for ship-radiated noise is proposed. The experimental results of the simulated signals show that MFDE can reflect the changes in signal complexity, frequency, and amplitude, which can be applied in signal feature extraction; in addition, the measured experimental results demonstrate that the MFDE-based feature extraction method has a better feature extraction effect on ship-radiated noise, and the highest recognition rate is 99.5%, which is an improvement of 31.9% compared to the recognition rate of a single time scale. All the results show that MFDE can be better applied to the feature extraction and identification classification of ship-radiated noise.