Multi-index evaluation method for grouting repair effect of diseases in expessways based on combined weighting method - cloud model

Status evaluation of mobile welding robot driven by fuel cell hybrid power system based on cloud model

To further enriching the safety system evaluation theory and comprehensively evaluate an control system for back-filling. This paper constructed a set pair matter-element extension comprehensive evaluation model based on the whole process theory, a multi-level comprehensive safety evaluation index system for back-filling control system. The index system was constructed by selecting 16 influencing factors from four aspects: slurry preparation system, pipeline monitoring system, strength monitoring system, and system visual management. Weights of the indicators are calculated by order relationship method, entropy weight method, and Lagrange combination weighting method. According to the set pair matter element extension calculation principle, a single indicator connection membership function is constructed. By calculating the single indicator connection membership degree and the comprehensive connection membership degree, the level of the control system for back-filling is comprehensively analyzed using the maximum membership degree as the criterion; Finally, taking three mines as examples, the blind number theory was introduced to determine the indicator assignment, and a comprehensive safety evaluation of the system level was conducted. The evaluation results were compared with cloud model and attribute recognition model. The results show that the evaluation results of the three models are consistent and consistent with the actual situation, indicating that the comprehensive evaluation model based on combination weighting method and set-pair extension matter element is applicable in the evaluation of control system for back-filling.

There are 11 provinces along the coastal regions in the Chinese Mainland and the scientific division of marine management boundaries among different provinces within the extents of the territorial sea is of important significance in promoting the sustainable development of the marine economy in China. A fuzzy evaluation index system that includes 14 indices of three subsets was established based on a case study of maritime boundary delimitation between Jiangsu and Shandong Provinces to evaluate the advantages and disadvantages of maritime boundary delimitation and determine the optimal scheme and offset shortages in the current evaluation index system and evaluation methods. Combined weights of indices were calculated through the analytic hierarchy process (AHP) and entropy weight method. The comprehensive evaluation indices were used to evaluate three maritime boundary delimitation schemes, namely, historical boundary delimitation scheme, angle bisector delimitation scheme, and equidistance delimitation scheme. Results show that the equidistance delimitation scheme is relatively superior to the two other schemes. The evaluation index is 0.504761 and the evaluation grade is “good”. The angle bisector delimitation scheme is the second optimal. The evaluation index is 0.361641 and the grade is “moderate”. The historical boundary delimitation scheme is the poorest. The evaluation index is 0.135345 and the grade is “poor”. In the late optimization of maritime boundary delimitation schemes, more consideration should be given to people’s livelihood and protection of national maritime rights and interests. The fuzzy comprehensive evaluation method based on AHP-entropy weight can not only provide a quantitative top-down sequence of schemes in terms of quality and solve estimation problems in maritime boundary delimitation scheme, but also assist decision-makers to select the best scheme. Therefore, it possesses great application values.

The energy internet platform not only integrates multiple types of energy forms, but also involves the benefit distribution of multiple subjects during the construction and operation. How to evaluate the platform objectively and accurately is the foundation for the construction of the platform. To this end, the comprehensive benefit evaluation index system of energy internet platform is proposed. The index was weighted by the method of analytic hierarchy process and entropy weight combining subjectivity and objectivity. Then, the comprehensive benefit cloud chart of the energy internet platform is determined by constructing the fuzzy synthetic evaluation matrix based on the cloud model to generate digital characteristics of the cloud model of every index. Finally, an example is given to verify the rationality of the evaluation index system and the validity of the evaluation method.

Aiming at the decision-making problem of comprehensive energy system evaluation of expressway service area, a comprehensive efficiency evaluation index system was proposed, composed of 41 dimension evaluation index in five categories: efficiency, economic performance, reliability, environmental protection and service quality; Based on entropy weight method and analytic hierarchy process (AHP), a subjective and objective combination weighting method was built for the comprehensive energy system evaluation in expressway service area, and the score of each planning scheme was calculated by the pros and cons solution distance method to achieve the ranking of specific planning schemes; The sensitivity analysis was carried out for the continuous value of the weighting adjustment factor α. The results show that with the gradual increase of α, the S5 evaluation score decreased, and when α=0.8, the ranking results of all schemes changed.

On the basis of the analytic hierarchy process (AHP) and entropy weight method, combined with the statistical results of large deformation under the complex geological conditions of Galigongshan tunnel, the grade cloud model evaluation method of the large deformation of surrounding rock is proposed. Its influencing factors are considered to select the strength stress ratio, maximum principal stress, elastic modulus, and uniaxial compressive strength as evaluation indexes. The weight of each index in the evaluation of large deformation is determined through AHP and the entropy weight method. Meanwhile, the combined weights of each influencing factor index are obtained by the optimal combination weighting method of maximizing the sum of squares of total deviation. Aiming at the uncertainty and randomness of the large deformation evaluation of tunnel surrounding rock, the numerical characteristics of a normal cloud model are used to calculate the determination of the evaluation index, and the evaluation results of the large deformation grade of surrounding rock are obtained. In this study, this method is applied to the large deformation evaluation of the surrounding rock of Galigongshan tunnel engineering. Compared with the results of the fuzzy hierarchical comprehensive evaluation method, the model evaluation method established here is more feasible. It combines subjective and objective weights to obtain a reasonable weight in the practical engineering application of significance, as large deformation provides a reliable reference for the prediction and prevention of disasters.

The accurate evaluation and fair comparison of wind farms power generation performance is of great significance to the technical transformation and operation and maintenance management of wind farms. However, problems exist in the evaluation indicator systems such as confusion, coupling and broadness, and the influence of wind energy resource differences not being able to be effectively eliminated, which makes it difficult to achieve the fair comparison of power generation performance among different wind farms. Thus, the evaluation indicator system and comprehensive evaluation method of wind farm power generation performance, including the influence of wind energy resource differences, are proposed in this paper to address the problems above, to which some new concepts such as resource conditions, ideal performance, reachable performance, actual performance, and performance loss are introduced in the proposed indicator system; the combination of statistical and comparative indicators are adopted to realize the quantitative evaluation, indicator decoupling, fair comparison, and loss attribution of wind farm power generation performance. The proposed comprehensive evaluation method is based on improved CRITIC (Criteria Importance though Intercrieria Correlation) weighting method, in which the uneven situation of different evaluation indicators and the comprehensive comparison of power generation performance among different wind farms shall be overcome and realized. Several sets of data from Chinese wind farms in service are used to validate the effectiveness and applicability of the proposed method by taking the comprehensive evaluation models based on CRITIC weighting method and entropy weighting method as the benchmarks. The results demonstrated that the proposed evaluation indicator system works in the quantitative evaluation and fair comparison of wind farm design, operation, and maintenance and traces the source of power generation performance loss. In addition, the results of the proposed comprehensive evaluation model are more in line with the actual power generation performance of wind farms and can be applied to the comprehensive evaluation and comparison of power generation performance of different wind farms.

Despite the continuous improvement in the technical performance of fiber‐optic early warning systems, their actual application results in preventing third‐party intrusion into oil and gas pipelines are often less than ideal. This issue stems largely from the lack of comprehensive postdeployment evaluation methodologies, making it difficult to identify root causes of performance deviations. To address this challenge, this study reviews and integrates relevant specifications and existing literature on pipeline fiber‐optic early warning systems, taking into account the actual characteristics of engineering projects, and addresses the limitations of existing research in terms of evaluation dimensions. It innovatively constructs the first multidimensional comprehensive application evaluation index system for pipeline fiber‐optic early warning systems, starting from both the technical characteristics of the system and its management needs in practical application. This fills the gap in the field of fiber‐optic early warning system application evaluation, which lacks a comprehensive evaluation framework that considers both technology and management. To ensure the scientific application of this index system, the analytic hierarchy process (AHP) and entropy weight method are used to determine subjective and objective weights, respectively, while a game theory combined weighting method is introduced to obtain optimal combined weights. Subsequently, the fuzzy comprehensive evaluation method is applied to empirically assess the systems at three pipeline workstations in Sichuan Province. The research findings indicate that the evaluation index system developed in this study can effectively assess the comprehensive application effect of fiber‐optic early warning systems in different pipeline stations. The evaluation results are highly consistent with the actual situation, demonstrating significant reliability and practicality.

The rapid development of electric vehicles (EVs) has made the construction and service capability evaluation of EV charging and battery swapping stations (CBSSs) more important. A comprehensive evaluation indicator system for the service capability evaluation of EV‐CBSSs is established, meticulously outlining the critical aspects of operational efficiency, economy, convenience, and reliability, each with multiple indicators for thorough assessment. To address the shortcomings of individual evaluation methods in evaluating the service capability of EV‐CBSSs, the game theory‐based combination weighting (GTCW) method is adopted, which integrates the advantages of the analytic hierarchy process method, entropy weight method, and grey relation analysis method. Specifically, the weights for each indicator are obtained separately using these three evaluation methods, and then combined using the GTCW method to calculate the final weights. In case studies, the service capability for each EV‐CBSS is calculated and compared between these three individual methods and the proposed GTCW method. Simulation results validate that the proposed evaluation indicator system and GTCW method can offer a more comprehensive evaluation of the service capability for EV‐CBSSs, providing guiding suggestions for future construction plans.

The current talent training model evaluation model uses the AHP method to calculate the evaluation index weights, which leads to the calculation of the evaluation index weights of the new English talent training model, which is difficult to pass the consistency test. To solve this problem, a new type of English talent training based on the AHP-entropy weight method is proposed. Model evaluation model. Based on the five principles of evaluation indicators, the evaluation indicators of the new English talent training model are divided into four levels: target level, criterion level, first-level index factor level and second-level index factor level, and establish an evaluation index system; The evaluation index system is divided into five levels and assigned to determine the set of evaluation system comments; The change of evaluation index is controlled between 0 and 1, and it is divided into positive index and negative index; Entropy weight method and AHP method are used to calculate the weight of evaluation index respectively. According to the calculation results, the weight of comprehensive evaluation index is obtained, and the final evaluation result is obtained through multi-level and step-by-step evaluation. The experimental results show that: the calculated evaluation index weight, the consistency test result is less than 0.1, and the consistency test is passed.

Due to technical limitations and the characteristics of the launch power system propellant, its support capability is affected by many factors and links. In the process of mission support, it is necessary to consider both its quality characteristics and the safety during the support process, which bring difficulties to the accuracy of its support capability evaluation. In this regard, the evaluation indexes system is constructed according to the requirements of total quality management theory, process safety management theory and equipment support characteristics. In the process of setting the indexes system, the technique for order preference by similarity to an ideal solution method (TOPSIS method) is used to screen the indexes to make indexes setting more scientific. The subjective weights obtained by the order relation analysis method (G1 method) and the objective weights obtained by the entropy weight method (EW method) are combined by the game theory combination weighting method to obtain the indexes combination weights, which reduce the error of weight calculation. The two-dimensional cloud model is used to evaluate support capability of the launch power system propellant from the two dimensions of quality management capability and safety management capability, which can reflect the support capability more comprehensively and accurately. Through example verification, the closeness of support capability of the launch power system propellant to the evaluation grades of ‘excellent’, ‘good’, ‘average’, ‘poor’ and ‘very poor’ is calculated to be 0.2333, 5.1169, 0.3579, 0.1821 and 0.1041, respectively, indicating that the evaluation results are closer to good. Finally, compared with the existing one-dimensional cloud model evaluation method, the superiority of this research method is highlighted, which has a certain guiding role in improving its support capability.

During the construction of the metro shield, the surrounding ground surface and buildings will settle due to the disturbance of sand and gravel during excavation. Therefore, it is essential to evaluate the safety and stability of shield tunneling. Aiming to address the ambiguity, randomness, and significance of each index in the process of evaluating safety and stability during shield tunneling, the study utilizes a method that combines game theory and extension cloud. Monitoring data related to ground subsidence, building settlement, embankment settlement, pipeline settlement, and segment deformation are selected as evaluation indices to develop a comprehensive extension cloud evaluation model for shield tunneling safety. The model is validated using real-world engineering cases. The results show that according to the combined weight results obtained by the game theory, analytic hierarchy process, and entropy weighting method, the safety and stability evaluation indexes of the shield tunnel interval in this case are building settlement, segment deformation, ground settlement, pipeline settlement, and embankment settlement in order of importance. The safety and stability of nineteen monitoring groups are evaluated using the comprehensive extension cloud model, including eight Level Ⅲ, four Level Ⅱ, and seven Level Ⅰ. Among them, monitoring groups at Level Ⅱ and Level Ⅰ nearby need to adopt corresponding preventive measures. The comprehensive evaluation model developed in this study, based on game theory and extension cloud, can reflect the uncertain relationships among various indicators. It helps to avoid the one-sidedness of single weighting. Compared with fuzzy comprehensive evaluation, the calculation results are more aligned with objective reality. Based on the aforementioned research, a comprehensive evaluation method is proposed, which combines game theory and extension cloud model. This method offers a novel approach and concept for safety evaluation in shield construction. The research can provide scientific references for the safety and stability evaluation of shield tunneling in sandy and pebble strata in the Chengdu area.

• Treat a problem of comprehensive evaluation for urban green competitiveness. • A novel green competitiveness evaluation index system is constructed. • Establish a gray fuzzy evaluation model to evaluate urban green competitiveness. • The weight of each evaluation index is determined via the entropy weight method. • Some countermeasures are provided to promote the urban green competitiveness. Green development is a mode of economic growth and social development aimed at efficiency, harmony and sustainability. Green competitiveness has gradually become a key factor in measuring the comprehensive competitiveness of a country or region. However, existing studies lack a unified evaluation index system and comprehensive methodology for assessing urban green competitiveness. This study fills this gap by integrating gray correlation analysis and fuzzy comprehensive evaluation to provide a more accurate and systematic assessment. First, 40 green competitiveness indicators were selected from four aspects of economic level, environmental pressure, resource consumption and social policy, and a green competitiveness evaluation index system was constructed. Second, the weight of each evaluation index was subsequently determined via the entropy weight method. Third, the gray correlation analysis and the fuzzy comprehensive evaluation method are combined to establish a gray fuzzy comprehensive evaluation model for evaluating urban green competitiveness. Finally, 11 provinces and cities along the Yangtze River Economic Zone in China were used as research objects, and the established evaluation mechanism was applied for empirical analysis. According to the comprehensive scores and ranking results of provinces and cities, some corresponding countermeasures and suggestions are provided to promote the competitiveness of the Yangtze River Economic Zone in terms of the economy, environment, resources, society and so on.

With the interconnection and intercommunication of Internet of Things (IoT) devices, the security risks of Power Distribution Internet of Things (PDIoT) systems have increased accordingly. How to monitor and assess these risks has become a key issue for advancing the construction and implementation of PDIoT. The traditional security evaluation methods mostly adopt a single weighting method and membership function, which are highly susceptible to subjective factors and have the characteristics of fuzziness and uncertainty. To address the problems, this paper proposes a security risk evaluation method of the PDIoT based on a combined weighting and cloud model. We first analyze the factors of security risks in PDIoT systems. A security evaluation index system for PDIoT was established based on factors from three aspects: the perception layer, network layer, and application layer, including 3 first-level indicators and 16 second-level indicators. Then, the analytic hierarchy process (AHP) and entropy weight method (EWM) are adopted for combined weighting to optimize the weight of each index; the cloud model is employed to calculate the standard evaluation and the comprehensive evaluation cloud. Subsequently, validity verification and cloud similarity calculation are performed to get the security state of the PDIoT. Finally the security evaluation level of the PDIoT system is obtained. An empirical test was conducted by taking the PDIoT of Meizhou Power Supply Bureau of Guangdong Power Grid as an example. The experimental results show that our method has better result distinguishability than the other three classical methods, allowing risk levels to be identified more clearly and intuitively.

This study establishes the evaluation index system of urban garden landscape planning program on the basis of the analysis of each evaluation index of urban garden landscape planning program. Using the combination of hierarchical analysis method and entropy weighting method, the comprehensive weight value of each evaluation index is calculated, and the fuzzy comprehensive evaluation model of urban garden landscape planning program is established. And according to the comprehensive evaluation cloud model based on uncertainty, a comparison of the comprehensive cloud evaluation results of garden landscape design before and after the integration of regional culture is derived. The results of the comprehensive cloud evaluation after the integration of regional culture changed from “medium” and “good” to “good” and “excellent”, indicating that the upgrading effect of regional culture into the landscape design was good, and the overall operation effect was improved.