Hierarchical Fuzzy Comprehensive Evaluation Research Articles

Hierarchical fuzzy comprehensive evaluation of prevention and control level of occupational hazards in coal mines

Objective: To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines. Methods: In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average. Results: The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good. Conclusion: The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

Risk Assessment of an Existing Metro Tunnel in Close Proximity to New Shield Tunnels following Construction

The construction of a new shield tunnel near an existing operating tunnel poses a great risk to the existing tunnel structure due to the continuous encryption of the rail transit network. This study investigated the safety status of an existing metro tunnel in close proximity to new shield tunnels following construction. A fuzzy comprehensive assessment model (hierarchical fuzzy comprehensive evaluation model) based on an analytic hierarchy process was proposed to assess the risks of the existing tunnel structure. The threshold of indicators in the existing tunnel structure risk assessment system was determined based on the tunnel function and structure security. Then, we described the membership vector determination method, weight vector determination method, and comprehensive evaluation vector processing method. Taking a project case in China as the research object, the quantitative analysis of the established evaluation system was carried out, and the intuitive risk assessment results were obtained. The hierarchical fuzzy comprehensive evaluation model can be employed as a decision-making tool for newly built shield tunnels passing through the existing tunnels, which can provide guidance for tunnel maintenance and guarantee.

A hierarchical fuzzy comprehensive evaluation algorithm for running states of an electromechanical system

A fuzzy hierarchical comprehensive evaluation algorithm including fuzzy matrix and comprehensive evaluation matrix calculation thought is proposed to accurately evaluate the running state of an electromechanical system. The analytic hierarchy process is included in the algorithm, which calculates the state of each subsystem from top to bottom and the states are used as the evaluation factor of the upper system. The idea of degradation degrees is introduced to standardize the indicators. The paper carried out the simulation experiment for the electromechanical system with a model number of JKMD-4 × 4(Z). The experimental results show that the established state evaluation model can accurately judge the operation state of the system with not too much data.

Research on Highway Slope Stability Based on Hierarchical Fuzzy Comprehensive Evaluation Method

The highway slope stability monitoring based on the Internet of Things technology can effectively realize the accurate and real-time three-dimensional monitoring of highway slopes and reduce the loss caused by road slope disasters. From the perspective of the system, based on the geological structure, topography and hydrology of highway slopes in Guangxi, this study uses the analytic hierarchy process to establish the stability of highway slopes based on the analysis of the characteristics of highway slopes, survey data, and factors affecting stability. This paper analyzes the structural model of the influencing factor layer, calculates the weights of the influencing factors of the road slope stability, combines the fuzzy relationships between the factors, and uses the comprehensive evaluation principle in fuzzy mathematics to realize the evaluation of slope stability. The results of an example analysis show that the evaluation method is reliable and effective.

A Hierarchical Fuzzy Comprehensive Evaluation Algorithm for Running State of a 6 kV (10 kV) Power Switch Cabinet

Considering the existence of many actual influential factors of a high voltage switch cabinet in the coal mine, the paper proposes a hierarchical fuzzy comprehensive evaluation algorithm to assess the running state of the 6 kV (10 kV) power vacuum switch cabinet better and improve operational safety and reliability of the power supply system. The algorithm can realize the state evaluation of bus bars, vacuum circuit breakers, electrical cables, other components, and the switch cabinet by the bottom-up approach. The running state evaluation index system and mathematical model of the switchgear are introduced particularly. According to the different forms of data information, this algorithm comprehensively evaluates the running state of the high voltage switchgear by using the online running data, test data, equipment information, and historical data records of the distribution cabinet. The actual operation states and test data of a handcart switch cabinet are taken as examples to prove the effectiveness of the algorithm.

Hierarchical Fuzzy Comprehensive Evaluation for CBM Favorable Areas in Western Guizhou and Eastern Yunnan

In order to select favorable coal bed methane (CBM) areas in western Guizhou and Eastern Yunnan, 5 typical mining areas were used to estimate. Based on physical properties, reservoir capacity and coal geological features, coal reservoirs evaluation model was constructed through hierarchical fuzzy comprehensive evaluation method. The results showed that: coal reservoirs were divided into 4 types, and among them, type I was the best reservoir which was mainly distributed in the western part of Zhina and Gemudi, the southeast of Panguan, and the northern part of Enhong and Laochang.

Evaluating stakeholder satisfaction during public participation in major infrastructure and construction projects: A fuzzy approach

Numerous different and sometimes discrepant interests can be affected, both positively and negatively, throughout the course of a major infrastructure and construction (MIC) project. Failing to address and meet the concerns and expectations of the stakeholders involved has resulted in many project failures. One way to address this issue is through a participatory approach to project decision making. Whether the participation mechanism is effective or not depends largely on the client/owner. This paper provides a means of systematically evaluating the effectiveness of the public participation exercise, or even the whole project, through the measurement of stakeholder satisfaction. Since the process of satisfaction measurement is complicated and uncertain, requiring approximate reasoning involving human intuition, a fuzzy approach is adopted. From this, a multi-factor hierarchical fuzzy comprehensive evaluation model is established to facilitate the evaluation of satisfaction in both single stakeholder group and overall MIC project stakeholders.