Comprehensive Water Quality Evaluation Based on Variable Fuzzy Model

The core goal of higher vocational education is to cultivate students with good professional quality. The employability of college students depends on their professional quality to a large extent. From the perspective of school education, all kinds of higher vocational colleges have entered a new level in practice, but the evaluation of comprehensive quality is still relatively weak. Therefore, in order to enhance the comprehensive ability of higher vocational students and cultivate their excellent comprehensive quality, this paper adopts the fuzzy comprehensive evaluation method and puts forward the evaluation method of the comprehensive evaluation system of higher vocational students, so as to provide reference for solving the problem of comprehensive quality evaluation. The specific process is as follows: in this paper, a two-level fuzzy mathematical model is established by using fuzzy mathematics theory and multimedia technology. First of all, according to the educational characteristics such as learning interest, psychological quality when encountering difficulties, and the ability to solve problems cooperatively, a set of secondary indicator system reflecting vocational college students is established. With this indicator, quantitative indicators are fuzzified by introducing membership functions, and a single factor evaluation matrix is established. Then, the specific steps are illustrated with examples to realize the qualitative analysis and quantitative evaluation of students’ comprehensive quality. The results show that the new comprehensive quality evaluation method established in this paper has strong practicality and innovation.

Scientific and reasonable water and fertilizer regimes positively affected crop growth, yield, fruits quality and soil environment improvement. As a liquid quick-acting organic fertilizer to substitute chemical fertilizers, biogas slurry has been widely used in agricultural production. However, the lack of research on the proper comprehensive quality evaluation model and irrigation mode under biogas slurry limits the promotion and large-scale application of biogas slurry in agricultural production. In this study, three biogas slurry (BS) ratio (1:4BS, 1:6BS, 1:8BS; volume ratio of biogas slurry to water), three irrigation levels (W1, W2, W3) and three fertilizer control treatments (CF1, CF2, CF3) were conducted in field experiments. Eleven single indexes from four type qualities (external quality, taste quality, nutrition quality, storage and transportation quality) were adopted to establish the comprehensive evaluation index system of tomato. The principal component analysis, grey correlation analysis, membership function analysis and TOPSIS analysis model (based on the combination of objective entropy method and subjective analytic hierarchy process) were used to estimate the comprehensive quality of tomato fruits. Moreover, the objective combination evaluation mode based on overall diversity was used to evaluate the results obtained from the four independent comprehensive evaluation methods. The aim is to mitigate inconsistencies of multi-attribute evaluation models. The results showed that biogas slurry application was beneficial to the accumulation of aboveground biomass under the same irrigation amount, which can effectively improve the sugar to acid ratio and lycopene content of tomato. T3 (1:4BS, W3) and T1 (1:4BS, W1) obtained the highest yield and water use efficiency (WUE), respectively. The results of Kendall consistency test and Pearson correlation coefficients showed that there were good compatibility and high consistency among the four independent comprehensive evaluation models, and the combined quality evaluation model can be performed directly. As the correlation coefficients between combined evaluation model and each of four independent methods reached 0.965, the combined evaluation model was capable of reducing the differences of four independent comprehensive evaluation model. The combined quality evaluation results showed that T2 (1:4BS, W2) recommended strongly in this study could effectively improve the yield, quality and WUE of tomato.

Modeling and application of sensory evaluation of blueberry wine based on principal component analysis

Based on the fact that most of the control factors of dam deformation behavior are fuzzy, and there exist no clear and absolute boundaries between different deformation grades, the variable fuzzy model is firstly applied to the dam deformation evaluation. Compared with other methods, the model could scientifically identify the relative membership degree and function between sample index and standard interval of each level index, and it can reasonably determine the evaluation level of each sample by varying model and its parameters. Firstly, the grade standard and the method of index normalization are determined. Secondly, the variable fuzzy model of dam deformation behavior is established. Finally, a case study is given and the results show the stability and suitability of the variable fuzzy model. Furthermore, compared with the existing evaluation results with the variable fuzzy model, the evaluation information between adjacent grades is described more detailed.

Context Aquaculture is an essential industry and assessing its impact on the environment, particularly water quality, is crucial for sustainable practices. This study aimed to comprehensively evaluate the seawater quality in the Dongji Island yellow croaker (Larimichthys crocea) aquaculture area by using the fuzzy comprehensive evaluation method and field survey. Aims The main objective of this study was to assess the seawater quality in the aquaculture area during 2 consecutive years (2019 and 2020) on the basis of monitoring data. Methods The researchers utilised the fuzzy comprehensive evaluation method to assess seawater quality in the Dongji Island yellow croaker aquaculture area. Seawater monitoring data from 6 months in 2019 and 6 months in 2020 were collected for the evaluation. The method included an annual average evaluation, and membership degrees were calculated for each year and individual months. Qualitative interviews with 30 local fish farmers were conducted to unravel the challenges faced by aquaculture water quality management. Key results The evaluation results indicated that the seawater quality in the aquaculture area was classified as Class I water in both 2019 and 2020 on the basis of the annual average evaluation. However, the membership degrees for 2019 were higher than those for 2020, suggesting that water quality was better in 2019. Furthermore, individual monthly evaluations in 2020 showed varying membership degrees, with May and June having higher membership degrees, indicating better water quality than in other months. August had the lowest membership degree, implying poorer water quality during that month. Conclusions The study demonstrated that the fuzzy comprehensive evaluation method is effective for evaluating seawater quality in aquaculture areas. It also concluded that the water quality in 2019 was superior to that in 2020, raising concerns about potential environmental degradation. Implications The quantitative and qualitative findings of this research have important implications for aquaculture practices in the Zhoushan area. The study highlights the need for continued monitoring and management of water quality to ensure sustainable aquaculture practices and adherence to water-quality policies. Future aquaculture endeavours in the region should consider the potential impact on water quality to maintain a healthy ecosystem.

The results of comprehensive evaluation of power quality are clearly time-series and nonlinear, making it feasible to study future trends based on historical data. In this paper, the comprehensive evaluation and prediction of power quality are linked, and the purpose is to predict the overall change trend of the power quality in a period of time in the future while evaluating it of the low voltage areas. In our scheme, we first use DS-AHP (Dempster-Shafer Analytic Hierarchy Process, DS-AHP)) to calculate the weight of the indicator to reduce the error caused by subjectivity. Secondly, the power quality is analyzed based on the radar chart, and the sample set is constructed with the comprehensive evaluation score obtained. Finally, we use PSO(Particle Swarm optimization, PSO) to optimize the parameters of SVM(Support Vector Machine, SVM), and establish an optimal prediction model that can reflect the change trend of power quality. Experiments show that the scheme for evaluating and predicting power quality proposed in this paper has good effectiveness and accuracy, and it can provide strong technical support for grasping the variation law of power quality in low voltage areas.

Recently, with the development of the smart distribution network with the advanced metering infrastructure, the requirement of comprehensive evaluation with mass data and global improvement of power quality has emerged. However, most comprehensive evaluation methods only focus on the score of power quality without considering the role of comprehensive evaluation in the global improvement strategy of power quality control devices. This paper proposes a complete global configuration strategy of shunt active power filters (SAPFs), which utilizes the evaluation scores as a part of the objective function. Then, an IEEE 18-bus test system with non-linear loads and unbalance loads is employed in simulation to verify the feasibility of the proposed comprehensive evaluation algorithm and global configuration strategy. After configuring SAPFs according to the result, total power quality indicators in the system can meet the recommended standards.

The overall quality of the steel wire is composed of the mechanical properties, the key process parameters, the geometrical parameters, surface quality, etc. A uniformity and comprehensive quality evaluation method of steel product based on the improved process capability index and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is proposed. First, the uniformity of the process parameters is described by the volume ratio between the process data area and the specification area which is calculated via kernel density estimation. The relative closeness of the newly added batches is obtained by TOPSIS, which is used as a comprehensive quality evaluation index. A time dimension is added to the radar chart to visualize high-dimensional data, which is intuitive to compare the differences between batches. The results show that the evaluation method can accurately obtain the uniformity and comprehensive quality of steel products.

BackgroundPerioperative chemotherapy combined with D2 radical gastrectomy has been proven to be the standard treatment for local advanced gastric cancer. However, tumor regression grading (TRG) is the only neoadjuvant chemotherapy (NACT) response evaluation criterion recommended by the NCCN guideline for gastric cancer (GC). Given TRG’s limitations, we aim to explore a better comprehensive response evaluation method in this study.MethodsClinical information of 96 GC patients who received NACT was collected prospectively. Clinicopathological variables predictive of the response to NACT were identified by comparing the pre- and post-NACT examination results. The correlations between the response mode and long-term survival rate were assessed.ResultsUnivariate Cox regression analysis showed that CT-based evaluation of the primary lesion thickness (CT-thickness) and tumor markers (TMs) were significantly associated with prognosis. The comprehensive evaluation method, including CT-thickness, TRG, and TMs, was constructed and proved to have a higher Harrell’s C index. Significant differences in overall survival (OS) and recurrence-free survival (RFS) were observed between responders and non-responders distinguished by the comprehensive evaluation method.ConclusionsThe combination of CT-thickness, TRG, and TMs could be used to construct a pragmatic NACT efficacy evaluation method with both high sensitivity and specificity, which could facilitate clinical decision-making, NACT-related clinical research conduction, and efficacy predictive biomarker exploration.

Cloud-based applications have become more and more popular. However, it remains a big challenge to comprehensive evaluate the reliability and performance of cloud providers and services due to the reason that Cloud is extremely dynamic and uncertain, resources distributed, virtualised, and freedom of entry and exit. The grey theory is adapted to handle the problems of blurring and uncertainty. Therefore, based on the grey relational analysis and grey comprehensive evaluation method, this paper proposes a novel trust comprehensive evaluation method for cloud services, also a comprehensive user satisfaction evaluation method for the better selection of suitable providers. In addition, it discuss in detail the construction and calculation of the evaluation model by case study.

The aggregate gradation of asphalt mixture is one of the most important factors affecting the service life of asphalt pavement. In order to study the gradation of asphalt mixture with the best comprehensive performance, this study puts forward a new method of mineral aggregate gradation optimization based on the fuzzy analytic hierarchy process and comprehensive evaluation method, aiming at the multi-level and multi-index evaluation of the road performance of asphalt mixture. First, the orthogonal test design method is applied to design nine target gradations with coarse aggregate (>4.75 mm) and fine aggregate (<4.75 mm) of AC-20 (asphalt concrete) mixture serving as two factors and the upper, middle, and lower positions of the gradation curve as three levels, and then the road performance test research is carried out. Second, a comprehensive model for evaluation of road performance of mineral aggregate gradation is established. A fuzzy complementary judgment matrix is constructed, and the index weights of each level and the hierarchical total ranking weight are calculated. Then, the membership function is introduced into the comprehensive evaluation model for the road performance of mineral aggregate gradation, and the membership values of each index of asphalt mixture road performance are obtained. Finally, the fuzzy comprehensive evaluation method is used to find out the comprehensive evaluation value of the road performance of the nine graded asphalt mixtures, and the mineral aggregate gradation is optimized. The research results show that the 1# gradation of the asphalt mixture has the highest comprehensive road performance evaluation value, and the combination of the fuzzy hierarchical analysis process and comprehensive evaluation method can more objectively and comprehensively evaluate the comprehensive road performance of the asphalt mixture and provide a useful reference for the optimal selection of asphalt mixture mineral gradation.

This paper takes the evaluation of comprehensive quality of community workers as the research purpose, the research methods are gathering data and establishing mathematical model and so on. First of all, it analyses the definition and current situation of community workers; second, it explains the necessity and importance of the comprehensive quality evaluation of the community workers; finally, we establish the comprehensive quality evaluation model of community workers based on BP neural network which takes an evaluating index system including five Level-1 index and thirteen Level-2 index as the base to get a comprehensive quality evaluation model based on BP neural network. We have proved that this model is functional by data results, and it shows that the model’s calculation results are consistent with experts’. This model owns advantages like self-learning ability and high intelligent. Model research can provide a theoretical basis for the evaluation of community workers when it comes to evaluation and selection.

Electromechanical product is an important part of mechanical and electrical control system, and its quality plays a key role in the normal operation process. In this paper, a comprehensive fault diagnosis system and quality evaluation model for electromechanical products is analyzed. Firstly, the feature extraction of different faults is carried out, and the fault features of electromechanical products are simplified by using the approximation set information system properties of rough set theory. Secondly, the subjective weight index model is determined based on the rough information system properties of rough set theory. Then, the evaluation weight of each index of quality evaluation model for electromechanical products is obtained by the importance measurement of information system properties. Finally, this paper illustrates that the results of fault diagnosis and quality evaluation of ball valves as well as the availability of scientific.

In the context of power market reform, the comprehensive evaluation of power quality is extremely important for the effective governance of power grids and the reasonable formulation of power prices. The paper proposed a method based on classification combined weighting and for the first time integrated with blind number measurement in order to solve the problems of strong subjectivity, inaccurate results and complex methods in comprehensive power quality evaluation. In the weights section, the subjective weights were calculated by combining load classification and an improved analytic hierarchy process. Then, the objective weights were calculated by the modified entropy weighting method. Finally, the combined weights were obtained by the Lagrange multiplier method. The introduction of load classification enabled the whole method to be more objective. In the evaluation part of the model, blind number theory was applied to modify the data reducing errors caused by data fluctuations. This was followed by a measurement using a curvilinear uncertain function to better distinguish between similar evaluation points. Once the measurements were completed, evaluation grades and scores were obtained. The correctness, objectivity and accuracy of the method were verified by analysis and comparison of practical examples.

There is an increasing need for practical and comprehensive evaluation methods and tools for conformance testing with ISO standards.In this study, we focus on ISO9241 which is an important ergonomic standard. A brief description shows its content and structure. Practical evaluations include the amount of time and resources which must be managed in software projects,while comprehensive evaluations require that the context of use be considered during the evaluation of user interfaces. In order to complete a comprehensive evaluation of usability, it is necessary to use more than one evaluation method. Therefore, an overview of different evaluation approaches is given, describing their advantages and disadvantages. Finally, the ISO 9241 evaluator is presented in detail as an example of a practical expert-based evaluation method for conformance testing with the ISO 9241 standard, that can be integrated in a comprehensive evaluation approach.