Fuzzy Judgment Method Research Articles

The weight fuzzy judgment method for the benchmarking sustainability of oil companies

The environmental, social, and economic challenges associated with the massive activities of the oil and gas industry require analysis and evaluation of companies' sustainability priorities. Evaluating the environmental performance of oil companies requires the application of strict mathematical tools and models that provide rigorous results. Multi-criteria decision-making (MCDM) is a rigorous tool that evaluates the performance and practices of oil and sustainable energy companies. However, classical multi-criteria decision analysis has problems related to inconsistency because of the subjective nature of pairwise comparisons. This study responded to the literature call by utilizing the weight fuzzy judgment method (WFJM) to determine the weight coefficients of criteria with zero consistency. Such a method employed criteria values and expert judgment for decision-making to create a bridge between the mathematical approach and the human approach. This study aims to develop a solid decision support system by evaluating and benchmarking 11 companies utilizing the fuzzy judgment method based on fuzzy theory and the VIekriterijumsko KOmpromisno Rangiranje (VIKOR) method to determine sustainability priorities for oil and gas companies. The oil companies’ criteria were efficiently weighted by the fuzzy judgment method, and the organizational capabilities represented the greatest weight value of 0.128, whilst the low-weight criteria were the high costs of technologies at 0.080. Besides, the benchmarking results for oil companies revealed that COM 8 was the best, whilst COM 11 was the worst. The fuzzy judgment technique is a unique approach to solving complicated decision-making problems, and its influence can be significant. Furthermore, this method can be applied in sectors other than energy, including banking, medical services, and engineering, where decision-making is not straightforward and requires a systematic approach.

Retracted: Construction and Application of Index System for Integration of Red Cultural Resources and Ideological and Political Education Based on Fuzzy Judgment Method

Retracted: Construction and Application of Index System for Integration of Red Cultural Resources and Ideological and Political Education Based on Fuzzy Judgment Method

Construction and Application of Index System for Integration of Red Cultural Resources and Ideological and Political Education Based on Fuzzy Judgment Method

This article states the fuzzy judgment method of the established index system around the history resources and red cultural resources. Firstly, in the second part, it summarizes the system of red culture in ideology and politics and the concepts of various resources of red culture. Then, in the third part, through the construction of the judgment index system, three judgment methods of the index system are put forward, which are the rank sum ratio judgment method, comprehensive index judgment method, and analytic hierarchy process (AHP) judgment method, and the weight judgment calculation of the index system is put forward. Finally, the fourth part puts forward the red cultural resource judgment method of the index system weight, but universities should enhance the cultural heritage of resource system. Besides this theory, the article also analyzes the necessity and effectiveness of the integration of red culture in the new era. This will help to investigate and test the current situation of red culture integrating into the local university foundation. Red culture is the culture formed under the red background, that is, the revolutionary war era. The special background of the times endows red culture with unique vitality, which makes it a unique component of China’s advanced culture. Red culture has been finally condensed into a representative culture with Chinese characteristics, which contains endless spiritual wealth.

Design of a Resident Physical Fitness Data Monitoring System Based on the Sensor and Fuzzy Algorithm

This article first introduces the working principle and research progress of motion sensors and analyzes the advantages and disadvantages of motion tracking sensors to provide a reference for in-depth research on motion sensing technology. By combining the fuzzy judgment method to identify the kinematic parameters, this paper establishes the statistical identification of features to predict the kinematic parameters and uses the fuzzy identification method to model the human behavioral characteristics. At the same time, the article designs a set of real-time data monitoring system for athletes' real-time monitoring behavior under actual sports conditions, which is used to obtain residents' sports data. Then, based on such requirements, the overall system architecture was designed to integrate the data acquisition module, data storage and processing module, and real-time data presentation module. The motion monitor can initiate a real-time monitoring request for a specific system group, the server can monitor individual groups to add real-time individual motion status, and the system will issue an alert if the system monitors a potentially dangerous situation.

Fuzzy judgment of edge features under dynamic constraints in pedestrian tracking

In order to improve the pedestrian tracking and recognition ability, it is required to conduct fuzzy judgment to edge features. Therefore, a fuzzy judgment method of edge features under dynamic constraints in pedestrian tracking based on local motion planning and edge contour segmentation was proposed. In this method, a geometry mesh area model for pedestrian tracking and recognition was constructed, and the fuzzy dynamic feature segmentation method was adopted to reconstruct dynamic edge feature points in pedestrian tracking to extract the greyscale pixel set under dynamic constraints in pedestrian tracking. The simulation results show that in pedestrian tracking and recognition, this method has strong fuzzy judgment ability of edge features and can provide results with error below 10 mm and relatively stable fluctuation, so this method can provide relatively high recognition accuracy and good robustness.

Fuzzy judgment of edge features under dynamic constraints in pedestrian tracking

In order to improve the pedestrian tracking and recognition ability, it is required to conduct fuzzy judgment to edge features. Therefore, a fuzzy judgment method of edge features under dynamic constraints in pedestrian tracking based on local motion planning and edge contour segmentation was proposed. In this method, a geometry mesh area model for pedestrian tracking and recognition was constructed, and the fuzzy dynamic feature segmentation method was adopted to reconstruct dynamic edge feature points in pedestrian tracking to extract the greyscale pixel set under dynamic constraints in pedestrian tracking. The simulation results show that in pedestrian tracking and recognition, this method has strong fuzzy judgment ability of edge features and can provide results with error below 10 mm and relatively stable fluctuation, so this method can provide relatively high recognition accuracy and good robustness.

110 kV通用设计变电站能效评估模型研究

经济的飞速发展离不开电力，而大量变电站的投运所带来的能源消耗问题越来越受到重视，评估变电站的运行管理的能效，从而提高变电站能效水平，对于实现绿色环保变电站的建设意义重大。本文通过对内蒙古东部地区现有的110 kV通用设计变电站的实地调查和测量统计，研究变电站的运行管理方法和电力设备的用能特点，采集反应变电站能耗的相关数据，提出能效评估的指标体系，结合国家行业标准，确定基于层次分析法的各因子在变电站能效中的权重，最后利用模糊评判法对110 kV通用设计变电站能效进行综合评定，从而得到完整的能效评估体系。利用实际测量的变电站能效数据对模型进行验证，证明了其可行性，为110 kV通用设计变电站的能效优化提供了指导。 The rapid development of economy is inseparable from the power, and the energy consumption brought by the operation of a large number of substations attracts more and more attention. It is of great significance to evaluate the energy efficiency of substation operation and management so as to improve the energy efficiency of substations. Based on the investigation and measurement of 110 kV universal design substation in the east of Inner Mongolia, this paper studies the operation and management methods of substation and the energy consumption characteristics of the power equipment, collects the data which reflects energy consumption of the substation and puts forward the energy efficiency evaluation index system. Finally, the energy efficiency of 110 kV universal design substation is evaluated synthetically by fuzzy judgment method, and then a complete energy efficiency evaluation system is obtained by combining the national industry standard and the weight of each factor based on AHP in the energy efficiency of the substation. The feasibility of the model is proved by the actual measured energy efficiency data of the substation, which provides the guidance for the energy efficiency optimization of the 110 kV universal design substation.

Research on Applied Technology with Optimization Methodology of Bottom Dead Center Accuracy Evaluation

Bottom dead center (BDC) is an important performance index of press,but how to precisely evaluate the accuracy of BDC is a technical problem faced by the press industry. Based on fuzzy judgment method and analytic hierarchy process (AHP), this paper constructs a comprehensive evaluation index to analyze and evaluate the position of the BDC accuracy.Evaluation step is a system operated by selecting evaluation factors and building evaluation set to determine the comparison matrix, to calculate the weight of each factor, and to establish fuzzy evaluation matrix, and through comprehensive evaluation model to judge the BDC accuracy level. It shows that this evaluation method can effectively evaluate the accuracy of press.

Clinical application and Fuzzy evaluation of autologous platelet-rich plasma mixed with fat graft in facial tissue depression

Objective To evaluate the clinical effect of the facial soft tissue defect treated with platelet-rich plasma （PRP） mixed with purified fat. Methods 35 patients with facial soft tissue de- fects were treated by PRP mixed with centrifuged fat tissue. Using Fuzzy judgment method the clinical effectiveness of therapeutic outcomes were evaluated on fullness, injection of frequency and satisfaction during 3 to 6 months of follow-up. Results The therapeutic outcomes showed that the reconstructed face became a relative symmetrical and natural appearance with not evidently fat resorption and stable after operation, Both patients and surgeons were satisfied with the results. The score of effectiveness was highest in Fuzzy judgment. Conclusions The efficacy of PRP is significant in enhancing fat graft, reducing fat necrosis and resorption. The fat tissue mixed with PRP is a reliable reconstruction option for the facial soft tissue defect. Key words: Platelet-rich plasma; Fat grafting; Au＊ologous; Facial tissue defect; Fuzzy judgment

A Kind of P2P Fuzzy Recognition Method Based on Flow Characteristic Description

Some characteristics of network application flow are inconspicuous,and they can not be simply identified by Keywords,ports+IP.The paper applies fuzzy mathematics theory to P2P traffic identification,and presents a kind of Fuzzy Recognition Method based on Flow Characteristic Description(FCD).FCD fuzzy recognition method analyzes captured network data first,and then describes uniformly key processes.Subsequently,the paper analyzes distributional state of those data in key process,and obtains their membership functions,which can be used as comment aggregates.Finally,fuzzy judgment method will judge whether the data are some kind of network application.The proposed recognition method is put to test through a popular network game.The experiment results verify that FCD fuzzy recognition method can identify network game flow and its accuracy is high.