Multi-level Evaluation Method Research Articles

A Priori Algorithm Based Network Security Situational Awareness Multi-Source Data Correlation Analysis Method

In the context of the information age, the Internet has developed rapidly, but the accompanying network security threats have also become an issue that cannot be ignored. In order to effectively respond to these threats and improve the data processing capabilities of network security situational awareness, the study focuses on the challenges of multi-source data processing and proposes a multi-source data association analysis method based on the A priori algorithm. This method aims to deeply explore the implicit relationships between data and provide stronger support for network attack detection. In addition, the study also designed a multi-level evaluation method based on coefficient of variation indicators, aiming to provide a more objective and comprehensive evaluation of the detection results. After a series of experimental verification, the proposed correlation analysis method has achieved significant results in detecting phishing attacks and DOS attacks, with detection rates of 90.3% and 93.8%, respectively. At the same time, the multi-level evaluation method has also been experimentally proven to provide more reasonable and accurate results for data evaluation. The methods and technologies proposed in the study can not only improve the multi-source data processing ability of network security situational awareness, but also provide valuable references for future network security research and practice.

Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods

In order to meet the diversified rehabilitation needs of people, it is necessary to design a product for the active rehabilitation of patients. Existing rehabilitation chairs use intelligent massage, which can cause problems such as large massage areas, inability to massage locally, large chair size, and inability to meet the continuous use of the damaged parts. In this paper, the modular design method and multi-layer evaluation method are used to solve the problems related to rehabilitation chairs. The authors use the questionnaire survey method and the functional technology matrix method to determine the functional requirements of the rehabilitation chair, and then use the multilevel evaluation methods, including the AHP method, entropy weight method, and grey correlation analysis, to optimize the functional solutions of the rehabilitation chair, and finally obtain a chair for the rehabilitation of patients with upper and lower limb disorders. Problems such as the generalization of rehabilitation scope and non-durable use of components were solved, and the purpose of active exercise was achieved. This study verifies that the use of the multilevel decision evaluation method can effectively improve the efficiency of program decision-making and provides a theoretical and practical basis for the design of similar products.

Evaluation index system and evaluation method of energy storage and regional power grid coordinated peak regulation ability

With the development of energy storage technology, energy storage technology began to be put into the peak regulation of power grid. But at present, the lack of scientific evaluation means for coordinated peak regulation ability of energy storage and regional power grid (ESRPG) hinders the large-scale participation of energy storage devices in peak regulation. To solve this problem, this paper proposes an evaluation system and evaluation method to comprehensively and accurately evaluate the coordinated peak regulation ability of ESRPG. Firstly, an evaluation system for the coordinated peak regulation ability of ESRPG is established from the perspective of energy storage and generator units. The indicator system comprehensively considers the impact of technology, economy, reliability, and other factors on the peak regulation ability of the ESRPG. At the same time, a multi-level evaluation method composed of an analytic hierarchy process and weighted rank sum ration is proposed to comprehensively evaluate the proposed indicator system. This method not only takes subjective and objective factors into account, but also eliminates the interference of dimensions, orders of magnitude and other factors on the evaluation results. Finally, the evaluation indicator system and evaluation method are applied to the simulation scene for evaluation, and the results show that the evaluation system and method make up for the shortcomings of the current mainstream methods and effectively evaluate the peak shaving capability.

A Grey Multi-Level Evaluation of Industrial Park Ecology Based on a Coefficient of Variation-Attribute Hierarchy Model

China entered a new era, and the construction of an ecological civilization and green development has been raised to a new strategic height. As the lifeblood of the national economy, industrial parks significantly contribute to economic growth. However, they also generate significant pollution, damaging the ecological environment. It is urgent to ecologically transform traditional industrial parks. This requires identifying methods to correctly and objectively evaluate the ecological level of industrial parks, and provide ecological construction proposals for the government and industrial parks. In this study, the comprehensive evaluation weight was determined by introducing a variation coefficient and an Attribute Hierarchy Model (AHM). The ecological level of four representative eco-industrial parks was then quantitatively evaluated using a grey multi-level evaluation method. The ecological construction level of the four industrial parks was as follows. The Tianjin Economic-Technological Development Area (TEDA) was rated at a “very good” level; and the Suzhou industrial park, Dalian economic and technological development zone, and Fushun mining group were rated at a “good” level. Six dimensions were studied. Of these, policy management had the highest weight, and the total weight of policy management and economic development approached 50%. The result shows that industrial parks can attract innovative enterprises and talents through the policy guidance of local government to improve the level of green innovation technology and cleaner production technology. Then, the ecological level of the industrial parks will be improved. This study enriched the theory and practice of ecological evaluation of industrial parks and provided a reference for the ecological construction of traditional industrial parks.

Comprehensive evaluation of train schedule on urban rail network based on multilayer grey relational analysis

The train schedule is the basis and foundation for the staff of all departments of urban rail transit to cooperate with the train operation. The quality of train schedule directly affects the efficiency and safety of the transportation organization. The compilation of train schedule should consider not only the train movement in the operation level, but also the passenger flow in the passenger service level. Therefore, this paper firstly uses the expert consultation method to filter the relevant indicators of the train schedule, and constructs the comprehensive evaluation index from five aspects: basic operation index, service quality, robustness, adjustability, and operational effect. Secondly, the multi-level evaluation method is constructed by the tomographic analysis method, and the grey comprehensive evaluation model is then established. The weights of each level of the indicators and the grey correlation coefficient are calculated to evaluate the quality of train schedule, and to select optimal scheme. Finally, Shenzhen Metro is taken as an example for case study. The result shows that the comprehensive quality evaluation of the train schedule of line 11 is good, and that of line 1, line 7 and line 9 are general. Case study reveals that the proposed method can reasonably and effectively evaluate the quality of train schedules.

A multilevel evaluation method for heuristics with an application to the VRPTW

AbstractThe field of combinatorial optimization has inspired the development of a large number of heuristic solution procedures. These methods are commonly assessed using a competitive evaluation methodology that may give an indication of which algorithm has a better performance. A next step in the experimental analysis is to uncover “why” one algorithm performs better. Which elements are responsible for good or bad performance? How does the performance of elements vary across the design space? What is the influence of the specific problem instance that is being solved? We focus on gaining a better understanding of heuristic algorithm performance and demonstrate that the application of a proper statistical methodology can provide researchers insight into how performance is affected by the different algorithm parameters and components. As an example, we apply a multilevel statistical analysis to a large neighborhood search algorithm for the vehicle routing problem with time windows.

Evaluating green development level of nine cities within the Pearl River Delta, China

Due to the uncertainties resulted from environmental changes, the importance of green development has been paid increasingly attention in the world. However, our knowledge of the green development level of nine cities in the Pearl River Delta (PRD), China, was still limited. Therefore, this study, based on the analysis on the connotation of green development, employed multi-level evaluation method and entropy method to develop the urban green development evaluation index system from five aspects, including enhancement of living environment, treatment and utilization of pollutant, improvement of ecological efficiency, optimization of economic growth and development of innovative potential. This evaluation index system was further applied to evaluate the green development level of nine cities within PRD. Results showed that significant difference in green development level occurred among cities within PRD. Green development level in Shenzhen, Zhuhai, Guangzhou was relatively higher than that in other cities, with the advantages in improvement of ecological efficiency and optimization of economic growth. Green development level in Zhongshan, Dongguan, Huizhou, Foshan averaged in PRD, while Jiangmen and Zhaoqing had a delayed green development level because of their irrational economic structures and extensive growth patterns though these two cities possessed good ecological environment endowments. In the future, it is necessary for PRD to formulate specific and targeted policies and measures to further upgrade energy structure, transform industrial structure, improve public transportation, enhance forestry carbon sink, and eventually construct low-carbon circular industrial system and development pattern.

A Multi-level Fuzzy Evaluation Method for Smart Distribution Network Based on Entropy Weight

Smart distribution network is considered as the future trend of distribution network. In order to comprehensive evaluate smart distribution construction level and give guidance to the practice of smart distribution construction, a multi-level fuzzy evaluation method based on entropy weight is proposed. Firstly, focus on both the conventional characteristics of distribution network and new characteristics of smart distribution network such as self-healing and interaction, a multi-level evaluation index system which contains power supply capability, power quality, economy, reliability and interaction is established. Then, a combination weighting method based on Delphi method and entropy weight method is put forward, which take into account not only the importance of the evaluation index in the experts’ subjective view, but also the objective and different information from the index values. Thirdly, a multi-level evaluation method based on fuzzy theory is put forward. Lastly, an example is conducted based on the statistical data of some cites’ distribution network and the evaluation method is proved effective and rational.

Renovated Comprehensive Multilevel Evaluation Approach to Self-Healing of Asphalt Mixtures

AbstractBased on fuzzy evaluation and the analysis hierarchy process, this paper develops a method for evaluating the self-healing capability of asphalt mixtures. In developing the method, 18 judgment indicators were selected on the basis of a study on the influence factors of self-healing capability, and a numerical approach was established to describe the properties of these indicators. Four types of subordinate functions with 16 mathematical expressions were set up to describe the properties of the continuous indicators, and empirical approaches were used to deal with the dispersion indicators. Based on the improved analysis hierarchy process, a renovated comprehensive multilevel evaluation method was developed to evaluate the self-healing capability of asphalt mixtures. Finally, the feasibility and effectiveness of the method were validated with excellent results using a type of asphalt mixture from engineering practice.

Practice and discussion of German as a second language teaching at medical colleges and universities

On the basis of the analysis of the current situation of German as a second language teaching at medical colleges,this paper argues that the mode of communicative approach should be systematically constructed in an all-round way with the flexibility for teaching approaches taken according to the content modules such as the situational approach in the stage of oral practice learning,the practice and comparative learning in lexical and grammatical learning,the performancebased learning in the stage of cross-cultural learning.And finally,through a multi-level evaluation method,the implementation of the teaching objectives should be carried out to strengthen the medical students' cross-cultural ability and humanistic quality. Key words: Medical university; German language; Teaching approaches; Cross-cultural ability; Humanistic quality

Study on Optimal Selection for Soft Soil Foundation Treatment Methods of Port Engineering

In this paper, advantages and disadvantages of single evaluation methods in solution selection of soft soil foundation treatment are analyzed and evaluated. Grey multilevel evaluation model combined AHP method and GRAP method is used in method selection of soft soil foundation treatment. Three kinds of soft soil foundation treatment schemes to be adopted in breakwater engineering construction in the west area of Yantai port are analyzed. And optimal selection of soft foundation treatment schemes is realized. It indicates that grey multilevel evaluation methods is reliable in results and possesses certain practical applicability and effectiveness, which provides a new way for optimal selection for soft soil foundation treatment methods of port engineering.

A multicriteria evaluation of real estate properties based on environmental impacts

This paper presents an evaluation method of the state of real estate properties as a first step towards the elaboration of action plans for improving the environmental characteristics of a building stock. This multicriteria and multilevel evaluation method takes into account both the decision maker and the building specialists’ point of views. One of the main challenges is in the translation of data obtained from tools such as life cycle analysis, thermal simulation or global cost analysis into high level information meaningful to the decision maker. This paper focuses on the transition mechanisms of the evaluations between the two types of actors. The proposed method is based on the comparisons of data with reference values and on multicriteria aggregation using ELECTRE TRI. We illustrate the working of the proposed method on a building stock example.