Multi-Level Fuzzy Comprehensive Evaluation of Hydraulic Oil Performance

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.

With international practice and needs of business own development, it' s has become more and more common to carry out EPC project general contract in enterprises' contract. The EPC model covers basically the entire project construction process and comparing with the traditional contract model, the risk of general contactor is the biggest undoubtedly. To the ambiguity and uncertainty of risk assessment information, this paper presents the fuzzy comprehensive risk evaluation method for EPC general contractor risk assessment. Through the analysis of the EPC model to determine the risk source and loss of general contractor and then use the fuzzy comprehensive evaluation method to realize the quantization of the possibility of risk occurrence and risk loss. By the quantified possibility of risk occurrence and loss consequences to calculate the risk gene and get the risk quantized valve ultimately. The example shows that fuzzy comprehensive risk evaluation method can realize quantitative treatment of fuzzy and uncertain information and can practically and effectively evaluate the EPC general contractor's risk.

The evaluation of burst-proneness risks has affected the coal and rock mining progress and development. The quality evaluation system framework of burst-proneness risks indexes is established. Fuzzy evaluation index system is proposed to take into account various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and used to check for practical example. Using comprehensive fuzzy evaluation model and case study, it is concluded that, based on burst-proneness risk evaluation index system, comprehensive fuzzy evaluation method is applied to evaluate and solve the unclear boundary of some burst-proneness risks indexes and inaccurate fuzziness, which is proved to be practicable and feasible.

Aiming at the problem that the multi-objective evaluation of performance and the weighting coefficients of indexes is difficult to find, a fuzzy comprehensive performance evaluation method of rolling linear guide (RLG) is proposed. Considering the static and dynamic indexes, a structure model containing nine weighting coefficients was constructed. The performance evaluation function was established by the compromise programming method and the average power method, while weighting coefficients were determined by the improved analytic hierarchy process (I-AHP); the mathematical model was obtained to evaluate the RLG in a certain application. The evaluation results show that the confidence of the static, dynamic and comprehensive performance of the RLG is 59.21 %, 81.97 %, and 63.34 %, respectively. The feasibility of the method was verified by numerical simulation. This method indicates the pros and cons of the performance of the RLG and also indicates the direction for its optimized design.

Battery inconsistency evaluation based on hierarchical weight fusion and fuzzy comprehensive evaluation method

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.

Fishing vessel safety accidents often occur, and the causes are various. If there is a clear understanding of the causes of these frequent accidents, the risk of accidents will be reduced. In this paper, the weights of various safety indicators of fishing vessels are calculated by the combination of AHP and cluster analysis methods. The fuzzy comprehensive evaluation method is used to evaluate the safety of fishing vessels, and the safety status of fishing vessels in Fuzhou is used as a case study to verify. The survey data of fishing boat accidents in Fuzhou City, Fujian Province, and the collection of accident data of fishing boats in other coastal cities, collating and analyzing the data, and obtaining the possible risk factors in the fishing production process of fishing vessels, refer to the relevant literature on the factors affecting the safety of fishing vessels and based on the information obtained from field research, the safety evaluation index system of Fuzhou City was constructed. The weights of each index were calculated by using the analytic hierarchy process and the cluster analysis method. Then, the fuzzy comprehensive evaluation method was used to evaluate the safety of a fishing boat. In addition, in the process of writing this article, I have contributed my own strength in the early stage of data collection, data analysis and modeling analysis.

Logistics financing is a new way to solve the financial problem of small and medium enterprises (SMEs). The evaluation of logistics financing efficiency can help SMEs to make advisable decisions when they face financing problems. Firstly, this paper selects five evaluation factors of financing efficiency and four models of logistics financing for SMEs. Secondly, based on fuzzy comprehensive evaluation method, the paper evaluates the financing efficiency of four kinds of SMEs' logistics financing models. Finally, this paper concludes that warehouse receipt financing model has the highest efficiency among the four kinds of financing models i.e. confirmed warehouse financing model is in the second order; unified credit financing model is in the third order and direct advance payment financing model is in the fourth order. Logistics financing has unque advantages of solving problem of financing for SMEs. It can reduce financing costs and expand financing channels. With the development of Logistics Financing, there are many logistics financing model. Which model should be used for SMEs financing depends on the financing efficiency and financing cost. Based on the analysis of operation model of logistics financing and evaluation factors of financing efficiency, the paper evaluates financing efficiency of four kinds of logistics financing models, by fuzzy comprehensive evaluation method.

This paper described a fuzzy comprehensive evaluation method and implemented assessment system for multi-layer decision making. The proposed method is a assessment before bidding through the key questions using fuzzy comprehensive evaluation method and the entropy weights. The key questions are given by the wider investigation of major sports event organizers. The paper carried out evaluation of single factor and fuzzy comprehensive evaluation from low layer to high layer step by step. In order to verify the effectiveness of proposed method, we built the sports event management service platform (SEMSP) for assessment of applicant city. This method represents a unified one of the quantitative results and the qualitative results based on the judgment of experts.

With the social progress and economic development, people have put forward requirements for the ecological operation of built reservoirs. However, there are conflicts between the ecological landscape and the existing benefits such as irrigation and flood control, so it is necessary to build a decision-making model for the comprehensive value of the ecological operation of reservoirs. Taking a reservoir project which needs to satisfy multi-objective requirements as an example, this paper proposes a set of decision-making methods for ecological operation of built reservoirs based on improved comprehensive fuzzy comprehensive evaluation method and constructs a multi-objective decision-making model and optimization strategy combination. Through case analysis in this paper, the improved comprehensive fuzzy evaluation method has a good effect on multi-objective decision-making of ecological dispatching of built reservoirs. The research shows that the combination strategy of improving the reservoir’s water storage capacity and the water-saving supporting transformation measures has a good effect, which can reduce the waste of the reservoir diversion project and large-scale high-efficiency water-saving transformation project construction. It embodies the idea of water-saving priorities and space balance and has broad application prospects in the optimization of reservoir ecological dispatch.

It is necessary for investors and construction enterprises to evaluate project risk objectively in order to manage and control project risk effectively and further reduce economic losses. This paper firstly builds projects risk evaluation index system including social risks, economic risks, technical risks, manage risks and equipment risks based on the characteristics of the project risk assessment so that projects risk qualitative evaluation is transformed into a quantitative evaluation problem; Secondly, using each advantages of the Analytic Hierarchical Model (AHM) and Fuzzy Comprehensive Evaluation, the index weights are decided by AHM and the uncertainty of risk can be quantified and measured by the fuzzy comprehensive evaluation, then the model of the project risk fuzzy comprehensive evaluation is built. As a result, the fuzzy comprehensive evaluation method is suitable for engineering project risk evaluation. Lastly, a case analysis on the data obtained from experts indicates that it is feasible for the combination of AHM and fuzzy comprehensive evaluation to assess project risk and use this technique more widely.

In observance of the comprehensive,scientific,quantitative and qualitative principles of performance evaluation,the performance evaluation process and evaluation index system for TUMC Tumor Building Project is put in place.The evaluation index system has three dimensions,project decision-making,project management and project performance,and 20 qualitative indicators such as project output ratio,and socio-economic effect.The fuzzy comprehensive evaluation method was called into play for an objective evaluation.Success of TUMC Tumor Building Project proved the efficiency of project management in decision-making and construction management. Key words: Performance evaluation; Evaluation index system; Fuzzy comprehensive evaluation

Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH3, CO2, inhalable particulate matter (PM10)]. Second, the consistency test of the judgment matrix was transformed into a nonlinear constrained optimization problem and solved using the GA. Next, based on fuzzy set theory, the comment set and membership function were established to classify the degree of cold stress into 5 levels: none, mild, moderate, high, and extreme. Then, the degree of cold stress in cows was obtained using multilevel fuzzy comprehensive judgment. To investigate the effect of illumination indicators on cold stress in dairy cows, 24 prelactation cows from the south and north sides were selected for a 117-d comprehensive cold stress evaluation. The results showed that the mean mild cold stress durations were 605.3 h (25.22 d) and 725.5 h (30.23 d) and the moderate cold stress durations were 67.2 h (2.8 d) and 96 h (4.0 d) on the south and north sides, respectively. Simultaneously, generalized linear mixed model showed that there were significant correlations between the daily cold stress duration and milk yield, feeding time, lying time, and active steps in the cows on both sides. This method can reasonably indicate cow cold stress conditions and better guide cold protection practices in actual production.

This paper presents a new type of patient transfer system, in which the patient transfer apparatus and walking device are separated. The transfer apparatus can move by itself and the working space is not limited. The walking device is a height adjustable stretcher, which can realize the function of supporting transfer apparatus. The fuzzy comprehensive evaluation method is used to evaluate the comfortability of patient transfer system. First of all, the evaluation factor set and the weight of factor set are determined. Then, from the evaluation experiment, the working conditions matrix, the size factors matrix, the operating convenience matrix and the appearance matrix are obtained. Finally, the evaluation analysis and the fuzzy comprehensive evaluation results are given. The experiment results show the fuzzy comprehensive evaluation method is feasible and the patient transfer system has better comfortability.

This paper adopts the analysis method of big data to conduct an in-depth analysis and research on the sustainable development mechanism of enterprises, firstly, combing the content and methods of enterprise business performance evaluation, defining enterprise sustainable development, and exploring the integration of enterprise sustainable development and enterprise business performance evaluation by specifically analyzing from different perspectives. Then, we analyze the industry in which the enterprise is located, its business situation, and strategy, and after analyzing the current business performance evaluation system of the enterprise, we point out its problems. The current performance evaluation system is incomplete, focuses only on economic benefits, is not long term, and does not consider the company’s strategy and stakeholders’ needs, which affects its importance and feasibility. Then, the above analysis is integrated to build a performance evaluation system consisting of four dimensions, namely, economic dimension, scientific research and innovation dimension, social dimension, and ecological dimension, from the perspective of sustainable development, and a total of 29 indicators are selected. Then, the two research tools of first value method and fuzzy comprehensive evaluation method were combined, based on the panel data of enterprises from 2016 to 2020; the first value method was used to get the weights of each indicator in the business performance evaluation system. The fuzzy comprehensive evaluation method was used to get a comprehensive evaluation score of enterprise’s business performance in 2019, and then the evaluation results were analyzed in detail and suggestions were made, which confirms that enterprises are based on the sustainable development perspective. The evaluation of business performance is necessary and important. Finally, we propose supporting safeguards, such as establishing a performance evaluation team and a monitoring mechanism, dynamically improving the enterprise performance evaluation system, establishing a sustainable corporate culture, preparing and publishing a sustainable development report, and accelerating the information construction of performance evaluation.