Multi-level Fuzzy Evaluation Model Research Articles

Prediction of Energy Demand of Customer Microgrid Based on Multi-Level Fuzzy Evaluation Model

In order to improve the accuracy of customer microgrid energy demand forecasting, this paper conducts an in-depth study on the prediction of customer microgrid energy demand based on a multi-level fuzzy evaluation model. Firstly, a multi-level fuzzy evaluation index system was constructed, the multi-level fuzzy evaluation indicators were clarified, and the correlation characteristics, interactive characteristics and data dimension characteristics of customer energy consumption data were analyzed. Then, according to the principle of multi-level fuzzy evaluation method, the factor set and the evaluation set are clarified, and the multi-level fuzzy relationship is induced by the multi-level fuzzy mapping, the fuzzy matrix is obtained, and the identification parameters are processed to complete the prediction of the customer's microgrid energy demand. The simulation results show that the overall prediction accuracy of the proposed model is high, the prediction time is short, and the practicability is strong.

Adaptive Multi-Sensor Fusion Localization Method Based on Filtering

High-precision positioning is a fundamental requirement for autonomous vehicles. However, the accuracy of single-sensor positioning technology can be compromised in complex scenarios due to inherent limitations. To address this issue, we propose an adaptive multi-sensor fusion localization method based on the error-state Kalman filter. By incorporating a tightly coupled laser inertial odometer that utilizes the Normal Distribution Transform (NDT), we constructed a multi-level fuzzy evaluation model for posture transformation states. This model assesses the reliability of Global Navigation Satellite System (GNSS) data and the laser inertial odometer when GNSS signals are disrupted, prioritizing data with higher reliability for posture updates. Real vehicle tests demonstrate that our proposed positioning method satisfactorily meets the positioning accuracy and robustness requirements for autonomous driving vehicles in complex environments.

Model Innovation Research of Cultivating Applied Art and Design Talents Based on Environmental Psychology

Abstract To achieve the training goal of applied innovative talents, this paper designs an innovative model of training applied art and design talents based on environmental psychology to improve the quality level and practical ability of art and design talents. The k-means algorithm is improved by introducing a particle swarm algorithm, using information entropy to verify the effect of the clustering. The improved algorithm is used in developing the talent training model to make the development results more reasonable. Based on the strength of the training performance of each classifier in the random forest, the individual classifiers are weighted to reduce the influence of the poorly performing classifiers on the talent training quality evaluation results. A multi-level fuzzy evaluation model is used to design a quality evaluation index system for applied talent training, which is used to measure the merits of the talent training model. To verify the feasibility of the designed model, the simulation analysis results show that the assessment achievement on course objectives 1-5 reached 0.6784, the average score on design content, methods and ideas was 4.34, and the comprehensive score of talent training quality evaluation was 85.64. It shows that environmental psychology can support the cultivation of applied art and design talents and promote the overall development of applied talents.

Application of Multi-Level Fuzzy Comprehensive Evaluation in the Pension Industry of Combination of Medical and Nursing in Heilongjiang Province

The development of pension service industry is the internal requirement of building a harmonious society and promoting the coordinated development of economy and society. Construction of evaluation index system of combination of medical and nursing. There are 6 primary indicators and 21 secondary indicators. By means of questionnaire, this paper investigates the satisfaction of the current medical and nursing industry in Heilongjiang Province, and establishes a fuzzy judgment matrix. The entropy method is used to determine the weight of each index, and the multi-level fuzzy evaluation model of the combination of medical care and pension industry in Heilongjiang Province is established. The comprehensive score was 78.65. It shows that the industry of the combination of medical care and pension in Heilongjiang Province is at the middle and upper level. Although people are very satisfied with the current pension industry, there is still room for improvement. Finally, according to the analysis of the results of the above model, some suggestions are put forward to effectively promote the development of the industry.

A Multi-Level Fuzzy Evaluation Method for the Reliability of Integrated Energy Systems

With the increase in environmental pressure and rapid development of renewable energy technologies, an integrated energy system has been recognized as an effective approach to accommodate large-scale renewables and achieve environmental sustainability. While an integrated energy system significantly improves energy efficiency, the interaction between different energy systems may also bring multiple operational risks to its reliability, which necessitates an effective reliability assessment technique. In this paper, we proposed a multi-level fuzzy evaluation model based on combined empowerment for the reliability evaluation of an integrated energy system. The analytic hierarchy process method and entropy weight method were used to calculate the weight of each index in the evaluation model. Fuzzy evaluation matrix was constructed by the membership degree of a single factor, which was defined by the fuzzy comprehensive evaluation method. The multi-level fuzzy evaluation results were obtained based on single-level evaluation results. Finally, case studies were carried out based on a practical integrated energy system; we proposed 5 first-level indicators such as reliability and economy and 12 second-level indicators such as mean time of incapacity. The simulation results (85.15) showed the effectiveness and advantages of the proposed model.

Water Resources Carrying Capacity and Circular Economy Based on Fuzzy Multilayer Algorithm.

By combining the relevant theoretical foundations such as fuzzy algorithm and water resources environmental management, and selecting the actual water resources integration data, this paper establishes an index system to investigate the carrying capacity of the water environment in this area. Through the study and application of the comprehensive multilevel fuzzy evaluation model, based on scenario analysis, the current situation of water resources environmental management and the temporal and spatial variation characteristics of water resources in the study area in recent years were evaluated. In order to observe the differences more accurately in the spatial structure of water use in the study area through information entropy, ArcGIS IS images were drawn according to the calculation results of the urban degree balance in the study area. In the development of circular economy, the information center plays an important role in the industrial ecosystem, which is the basis for the recycling of materials, energy, and water. By building a unique data platform, it can help companies understand the latest status of logistics, energy, and waste recycling in the park and can make adaptive adjustments to the above conditions, to achieve the sustainable development of the overall industrial chain.

Impact Assessment of Eastern Route of South-to-North Water Diversion Project Operation on Water Environmental of Dongping Lake

The Eastern Route of the South-to-North Water Diversion Project is a national strategic measure to improve the water supply conditions of the cities along the route, Jiaodong and Huaibei regions. However, the Water Diversion Project not only brings social and economic benefits, but also changes the hydrological situation and ecological environment of water source area, transfer area and receiving area. In this paper, Dongping Lake is selected as the research object. By using the analytic hierarchy process and fuzzy evaluation method, the index system of the impact assessment of the Eastern route project on the water environment of Dongping Lake is constructed, and a multi-level fuzzy evaluation model is established to conduct quantitative and qualitative research on the impacts of hydrology, meteorology, water ecological environment, soil and other aspects as well as ecological and economic compensation. The analysis results show that the operation of the Eastern route project has brought some negative effects on Dongping Lake, mainly reflected in the aspects of soil, ecological compensation, hydrology and meteorology, and the negative effects on the water ecological environment are light. By studying the impact of the Eastern route project on the water environment of Dongping Lake, this paper aims to improve the environmental impact assessment system for the water receiving area of the Eastern Route of the South-to-North Water Diversion Project, and to provide reference for the research on the environmental impact assessment system for other water diversion projects in China.

Research on Quantitative Analysis of Tourism Resources Based on Fuzzy Evaluation Method of Computer Multilevel Model

In order to make a quantitative analysis of tourism resources, we need to consider the interaction of appreciation factors and the differences of different tourists’ feelings. We can use the fuzzy mathematics class evaluation method under the computer technology to establish the multi-level fuzzy evaluation model. A scenic spot can be used as an example to show the specific process. According to the exhibition, we can get the final result of the comprehensive appreciation of the resource grade and quality of the tourism area. Finally, this paper also explains the specific measures to improve the development of tourism resources.

Multi-Level Fuzzy Evaluation Model of Gymnastics Teaching Ability in Colleges and Universities

Gymnastics to gain success in colleges and universities must have one of the most basic ability which is teaching ability. To the teaching ability, the evaluation is objective and correct, so that the students can get all-round development during undergraduate course, and to be able to meet the needs of the society is the difficult problem in teaching. This study adopts multi-level fuzzy evaluation method, establishes teaching ability index system and evaluation method, and hopes to provide certain theoretical basis for track and field teaching in the future.

Application of Fuzzy Comprehensive Evaluation on COGAG Power Plant of Performance

A fuzzy comprehensive evaluation of COGAG power plant performance is given by using a method of fuzzy mathematics, and multilevel fuzzy evaluation model is set up. Taking a naval ship as an example, the major parameters related to COGAG power plant performance are obtained by computer simulation, and a set of synthetic performance evaluation index system is established. The result shows that the strong fuzzy propulsion system performance indexes can be quantified by this fuzzy evaluation model in order to provide the reference for choosing the optimal design of ship propulsion system.

Research on the Life Cycle Environmental Impact Assessment System of Super High-Rise Building

With the rapid development of the construction industry and the decrease of land resources in China, super high-rise buildings are developing rapidly in central cities. Currently, the impacts of super high-rise buildings upon the environment are becoming unnegligible. According to the impacts during stages of construction and operation management, the paper comprehensively analyzes both domestic and international green building evaluation systems and evaluation standards in consideration of the super high-rise building development trends and the approaches to tackle super-tall building's environmental impacts and on the base of super high-rise building life cycle. The paper establishes a system of environmental impact assessment of high-rise building in accordance with the preliminary stage (project conception and feasibility study, survey), design stage, construction stage, operation and maintenance stage, and the demolition stage. By means of multi level fuzzy evaluation model, the system can evaluates comprehensively the environmental friendliness of super high rise buildings in their whole life-cycles, and thus can provide theoretical basis and practical guidance for environmental management on super high-rise buildings.