Fuzzy comprehensive performance evaluation method of rolling linear guide based on improved analytic hierarchy process

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.

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.

The two failure modes of shell structure, dynamic instability and intensive destruction, have no distinct boundary on their structural performance; they are fuzzy and are difficult to determine problems. By using the comprehensive evaluation method in fuzzy mathematics and taking the initial imperfection of the structure into consideration, this paper, taking Kiewitt spherical shell as an example, made parameter impact analysis to the structure, and investigated the influence of span ratios, the initial geometric imperfections and bar cross-section of the structure under earthquake failure mode. Ensuring the relations between a variety of response factors of the structure and fuzzy failure modes, the paper established a power failure mode shell structure of fuzzy comprehensive evaluation model and evaluation method, and described the application of the method in the discrimination of failure mode on Kiewitt monolayer Shell with initial defect; the consequences showed that this method can solve the problem of failure mode identification better with more realistic facts and possesses higher accuracy.

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.

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.

This paper put forward an improved fuzzy comprehensive evaluation method, the approach presented in this paper is applicable to evaluate the units which contain mixed information including both quantitative information and qualitative information. The idea is to keep the quantitative information unchanged, and firstly make the qualitative information fuzzy then quantization. The method both plays the information superiority of fuzzy comprehensive evaluation method for comprehensive evaluation, and solves the management deficiencies for quantitative information. Finally, the paper adopts the two evaluation methods to evaluate a concrete example, the results show that the improved fuzzy comprehensive evaluation method is more reasonable.

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

In order to solve the existent problems of incomplete and ambiguous information during the evaluation on the multiple constraints factors of city underground space development and utilization, this paper applies analytic hierarchy process and fuzzy comprehensive evaluation method to construct the comprehensive evaluation index system of the multiple constraint factors of city underground space development and utilization, then Yuzhong district, Yubei district, Beibei district in Chongqing respectively as an example, and comprehensively to evaluate the multiple constraint factors of city underground space development and utilization. Example analysis shows that, it has high feasibility and effectiveness that applies the method of fuzzy comprehensive evaluation to the multiple constraint factors of city underground space development and utilization, and it can contribute to solve fuzziness and uncertainty problems of the evaluation process.

Increasing traffic volume and insufficient road lanes often require municipal roads to be reconstructed and expanded. Where a road passes under a bridge, the reconstruction and expansion project will inevitably have an impact on the bridge. To evaluate the safety impact of road engineering projects on bridges, this paper evaluates the safety of the roads and ancillary facilities of highway bridges involved in municipal road engineering projects. Based on a comprehensive analysis of the safety factors of municipal roads undercrossing existing bridges, a fuzzy comprehensive analytic hierarchy process (AHP) evaluation method for the influence of road construction on the safety of existing bridges is proposed. First, AHP is used to select 11 evaluation factors. Second, the target layer, criterion layer, and index layer of evaluation factors are established, then a safety evaluation factor system is formed. The three-scale AHP model is used to determine the weight of assessment indexes. Third, through the fuzzy comprehensive AHP evaluation model, the fuzzy hierarchical comprehensive evaluation is carried out for the safety assessment index system. Finally, the fuzzy comprehensive evaluation method is applied to the engineering example of a municipal road undercrossing an existing expressway bridge. The comprehensive safety evaluation of the existing bridge reflects the practicability and feasibility of the method. It is expected that, with further development, the method will improve the decision-making process in bridge safety assessment systems.

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.

This paper aims to explore the application of the fuzzy comprehensive evaluation method in the evaluation of the medical and health system reform by establishing an evaluation index system. Index weights were determined by means of factor analysis and analytic hierarchy process (AHP), while fuzzy membership functions were used to determine the subordination grades of the evaluated objects on different indexes. Based on that, the fuzzy comprehensive evaluation results and comprehensive scores of 31 provinces, municipalities and autonomous regions in different subordination levels in China were obtained by constructing Multi-level Comprehensive Evaluation Model. The results indicated that the effect of the reform of the medical and health system was relevant to local economic development level to some extent, while both commonalities and differences exist in the results of comprehensive evaluation performance among different regions. To improve the performance of the medical and health system, practical and feasible reform measures need to be put forward based on local realities.

Dynamic enterprise alliance is a complex organization system. It has the virtual enterprise establishment, virtual operation and virtual management functions. The suitable cooperative partner is the necessary condition to ensure the efficient functioning of the dynamic enterprises alliance. It is the key technology of selecting the suitable partner reasonably and forming the dynamic enterprises alliance to realize the network manufacturing. In this paper, one reasonable model of fuzzy comprehensive evaluation on the cooperative partner of the dynamic enterprises alliance is established, using the fuzzy multi-grade comprehensive evaluation method based on the theories of fuzzy logic. It can offer a scientific method to select the optimum cooperative partner for the dynamic enterprises alliance, and improve the comparison level for alternatives.

In the context of the advancing construction engineering field in China, there has been a significant increase in the adoption of building information modeling (BIM) technology within engineering–procurement–construction (EPC) projects. This emerging technology is expected to significantly influence the decision‐making practices of professionals in the construction and engineering domain. Consequently, there is an urgent need for comprehensive research focused on construction management specifically pertaining to the effectiveness of construction developer management. This study examines seven representative EPC projects where BIM technology was implemented and it considers various factors that have the potential to influence project decision‐making while taking into account time and cost considerations. A comprehensive multidimensional evaluation method that combines the analytic hierarchy process (AHP) and the fuzzy comprehensive evaluation method is introduced in this study. The results of this study emphasize that the efficiency enhancement strategies derived from the judgment indicator method demonstrate favorable practical outcomes. This research highlights the importance of a comprehensive evaluation method combining the AHP and the fuzzy comprehensive evaluation method to enhance decision‐making efficiency for construction developer management staff.