Proposed Assessment Method Research Articles

Rapid Assessment Method of Buckling Stability of Bridge Pier–Cap–Pile System Under Scour Effect

A novel analytical method for evaluating the buckling stability of the pier–cap–pile system under scour effect is proposed, and furthermore, the concept of rapid assessment of bridge buckling stability based on natural frequency is innovatively introduced in this paper. First, the total potential energy function of the bridge pier–cap–pile system is established, and the closed-form solution of structural system critical buckling load under scouring is solved according to the principle of stationary potential energy. Second, the sensitivity analyses of pier height, pier width, bending stiffness reduction in pier, pile slenderness ratio, pile bending stiffness reduction, m-value of soil and structural gravity to the buckling load are carried out. On this basis, 60 sets of sensitive parameter sample combinations are extracted by the Latin Hypercube Sampling algorithm, and a proxy model relating the critical buckling load to scour depth and the sensitive parameters are then developed using the McQuarter global optimization algorithm. Finally, the regression relationship model between the critical buckling load and the natural frequency is formed by combining the proxy model and the existing relationship between the scour depth and the first-order natural frequency. The feasibility of the proposed assessment method is demonstrated by the finite element method using a bridge case study, which provides an insight and a new means of quantitatively evaluating the safety of bridges under scour effect.

Evaluation and maintenance method for general speed railway turnouts based on multi-source data

In recent years, with the increasing passengers' requirements for safety and comfort, as well as the measures of increasing revenue and reducing the expenditure of railway company, more efficient, more scientific and more comprehensive requirements have been put forward for the maintenance of railway turnouts. This paper develops a maintenance strategy based on the Turnout Service State Indicator (TSSI), derived from an analysis of multi-source data concerning turnout conditions. The weights of critical indicators affecting turnout conditions are determined using Analytical Target Cascading (ATC) and Analytic Hierarchy Process (AHP). Subsequently, turnouts are classified into four categories—great, good, general, and poor—based on their TSSI values, guiding specific maintenance strategies. The proposed assessment method was validated using data from four sets of turnouts collected on actual tracks, showing consistency between the assessment results and field technicians' evaluations. A comparative analysis of the ATC and AHP suggests that the latter provides a more scientific and objective assessment of turnout conditions. The established methods for evaluating the service state and deciding on turnout maintenance actions have been proven feasible and practical through field validation. These methods can be broadly applied to maintain general speed railway turnouts to enhance repair efficiency and reduce maintenance costs.

A Probabilistic Statistical Risk Assessment Method for Soil Erosion Using Remote Sensing Data: A Case Study of the Dali River Basin

Soil erosion risk assessment enables the identification of areas requiring priority treatment and avoids wasting human and material resources. The factor scoring method used in existing studies has high subjectivity, and the method of expressing erosion risk according to the soil erosion intensity ignores the random nature of the occurrence of erosion; therefore, neither method accurately reflects the risk of soil erosion. In order to address this issue, this study proposes a soil erosion risk assessment method that integrates the outcome and the probability of occurrence of soil erosion by means of a probabilistic statistical model. Subsequently, experimental research is conducted in the Dali River Basin. On the basis of long time-series data, using mathematical statistics as a tool and drawing on the empirical frequency formula, the probabilistic statistical risk assessment model is combined with the Modified Universal Soil Loss Equation (RUSLE) model to account for the probability of regional soil erosion at different intensity levels in the long time-series, which is combined with the intensity of erosion to carry out soil erosion risk assessment. The results of our study show the following: (1) The central and southwestern regions of the Dali River Basin (DRB) present medium and high levels of soil erosion risk, with the proportion of low-risk areas increasing annually, accounting for 78.97% of the DRB in 2020, while extremely high-risk areas account for only 0.40% of the DRB. (2) The major components impacting soil erosion risk in the DRB, as revealed by the geodetector, are the normalized difference vegetation index (NDVI) and slope, where the interaction between the two dominated the spatial variation in soil erosion risk. (3) Comparing the soil erosion risk and its status in the coming years, the proposed assessment method based on the occurrence probability can reveal the future soil erosion risk better than the traditional assessment method.

A methodology for evaluating damage in thin-walled cylindrical shells using bounded ultrasonic beam scattering

This paper introduces an ultrasonic detection methodology specifically designed to assess damage in thin-walled cylindrical shells, which crucially relies on the interaction between a bounded ultrasonic beam and a thin-walled cylindrical shell immersed in fluid, considering both water-filled and air-filled cavities. Initially, we derive the scattered sound field expression for a bounded ultrasonic beam obliquely striking the shell. Subsequently, through finite element simulations and experimental verification, we observe that when the incident bounded beam is emitted at the critical angles defined in this study, early damage significantly enhances the received sound pressure amplitude detected by a symmetrically positioned receiver. Notably, a mere 5 % decrease in the shell's elastic modulus leads to a notable 233.69 % increase in the area under the amplitude-frequency curve of the received sound pressure for water-filled cavities and a remarkable 642.85 % surge in area for air-filled cavities. Experimental data further validates the sensitivity of this method towards varying corrosion damage states. This approach combines the reliability of linear ultrasonic methods with the enhanced sensitivity of nonlinear ultrasonic techniques, offering a significant advancement over traditional ultrasonic detection methods for inspecting cylindrical shells. The proposed assessment method holds immense potential in providing novel insights for inspecting cylindrical shells in practical applications.

Condition of linear landscape elements improves with contiguity to protected habitats: Empirical evidence useful for agroecosystem accounting and restoration

In Mediterranean Europe, both intensification and abandonment of traditional cultural practices represent main drivers for the loss of natural and semi-natural elements in agricultural settings. Once common in rural landscapes, these habitats have to be conserved or restored to ensure resilience and resistance of agroecosystems against biodiversity loss and socio-ecological changes. In particular, linear landscape elements (LE) fall among the high-biodiversity landscape features that require to be increased in agricultural lands to facilitate species mobility and provide a wide range of ecosystem services. However, within the framework of environmental accounting procedures, there is still a need for a thorough methodology to assess conditions of LE and, subsequently, of the hosting agroecosystems. The present research is therefore aimed at (i) proposing a method for a thorough assessment of LE conditions, with a special focus on biodiversity support capacity, (ii) investigating the potential effect of extrinsic determinants on LE conditions, such as contiguity to protected habitats and governance framework, and (iii) identifying useful parameters to guide LE ecological restoration actions. Based on different structural, compositional and landscape indicators, the proposed assessment method was tested in eight administrative units of two Mediterranean Europe countries. In the study sites, favorable LE conditions were found to be strongly associated with contiguity to protected habitats, by showing marked structural continuity, dominance of trees, active dynamics, and good quality of the surrounding landscape mosaic. Potential applications of the results have been finally explored in both ecosystem accounting and ecological restoration processes.

Possibility assessment for using protective coatings and polymer materials on tubing to prevent inorganic scaling on the inner surface of pipes

AbstractThe inorganic scaling in wells is a common problem faced by mining companies. At present, the use of protective coatings for tubing as a measure to prevent or reduce the formation of inorganic scale deposits on pipe walls has not been fully studied. To use protective coatings as a measure to counteract the deposition of inorganic salts, it is necessary to develop a method that allows assessing the ability of coatings, as well as polymer and metal materials, to prevent the formation of inorganic scale deposits on the inner surface of pipes.The article proposes a method for assessing the ability of protective coatings to resist the inorganic scaling on the inner surface of tubing. The proposed assessment method allows to make an informed decision on the advisability of using internal protective coatings of tubing to prevent (or reduce) the formation of inorganic scale deposits. The authors consider design features of a test bench for assessing the resistance of coatings to inorganic scale deposits, which allows to simulate the conditions for the formation of scale deposits that are as close as possible to the real conditions of oil production facilities. The article presents the results of bench tests of nine coating samples, two polymer samples and one sample made of St 40G2 steel. To assess the effectiveness of using tubing with an internal anti-corrosion coating as a measure to combat scale deposits, additional research is required to assess the possibility of complex use of coatings in conjunction with other methods of preventing processes of inorganic scaling. Thus, the authors developed the Bench for assessing the resistance of protective coatings of tubing to inorganic scale deposits. A dynamic testing technique is proposed to evaluate the resistance of protective coatings to inorganic scale deposits. Based on the presented results, conclusions were drawn about the possibility of using protective coatings on tubing as a measure to prevent the formation of inorganic scale deposits on the inner surface of the tubing.

Assessing cylinder damage using bounded ultrasonic beam scattering methodology

This paper proposes an effective ultrasonic detection methodology for assessing the damage state of cylindrical structures. The methodology depends on the interaction between a bounded ultrasonic beam and the cylinder. First, the theoretical derivation of the scattered sound field generated by a bounded ultrasonic beam incident obliquely onto a cylinder is presented. Next, by means of FE simulations and experimental verification, we demonstrate that when the bounded ultrasonic beam emitted by the transmitter is obliquely incident upon the cylinder at either the first or second critical angles, as defined within this study, the early initiation of damage results in a significant increase in the received sound pressure amplitude detected by the receiver positioned symmetrically relative to the transmitter. Specifically, the simulation results indicate that a mere 5 % decrease in the elastic modulus of the cylinder correlates with a staggering 447.88 % surge in the received sound pressure amplitude at the first critical angle. Experimental evidence also demonstrates that for varying states of impact-induced damage of the cylinder, the received sound pressure amplitude detected by the symmetric receiver exhibits highly sensitive characteristics when a bounded ultrasonic beam is incident at the first critical angle onto the cylinder. This approach represents a significant advancement over traditional ultrasonic detection techniques, combining the reliability and stability of linear ultrasonic methods with the sensitivity for early damage assessment provided by nonlinear ultrasonic techniques. The proposed assessment method holds great promise in providing fresh insights for inspecting cylindrical structures in practical applications.

THE METHODS OF THE SORBED QUANTITY OF THE DIFFUSION COEFFICIENTS AND POLYMERS LIQUID AREAS

The article presents the application of a method for assessing the qualitative state of bridges based on the use of qualimetry methods. The proposed approach considers a wide range of parameters that affect the functioning and reliability of road bridges. The method involves the use of a qualimetric model that allows systematizing and structuring of information about the physical condition of individual bridge elements and functional indicators. The weighting of the parameters was determined using expert and estimated methods, which increased the accuracy and objectivity of the assessment. The development of a qualitative condition model includes the following stages: identification of bridge elements, determination of assessment parameters, development of a qualimetric model, determination of weighting coefficients for each criterion, analysis of the results of a specific object inspection, and determination of the overall operational condition of the bridge. The results of the study show that the proposed methodology can be effectively used to assess the condition of bridges, providing a sufficiently high accuracy and completeness of the assessment. This contributes to improving the safety and reliability of bridge structures, reducing accidents and optimizing their maintenance costs. The proposed assessment method has prospects for implementation in the practice of bridge condition management and can be further applied in the system of monitoring the condition of transport facilities.

A data-informed assessment method for the urban underground complex vitality

The urgent need for urban renewal and the rapid expansion of underground spaces has spurred the construction of urban underground complexes (UUCs). Vibrant UUCs are crucial for the efficient utilization of underground spaces and urban sustainability. Previous research on urban underground complex vitality (UUCV) has been primarily theoretical with limited reusability. In this study, we aimed to address this gap by focusing on underground functional facilities and spatial distribution characteristics to establish a UUCV indicator system based on walkability theory. We introduced a method based on exponential weighted mean for weight allocation to facilitate vitality calculations. Using the Wujiaochang UUC in Shanghai as a case study, we explored the spatial distribution mechanism of vitality and validated the feasibility of this research framework. The proposed assessment method and results obtained in this study offer valuable insights into underground space planning and design, particularly in the context of urban renewal.

ASSESSMENT OF INNOVATIVE-INVESTMENT POTENTIAL IN THE CONTEXT OF CREATING A SAFE ENVIRONMENT FOR THE IMPLEMENTATION OF PUBLIC-PRIVATE PARTNERSHIPS IN THE REGION

The main purpose of the article is to propose a theoretical and methodological approach to the assessment of the innovative-investment potential of a region for the implementation of public-private partnerships. The object of study is the innovative-investment potential of a particular region. To achieve the set goal, the scientific task is posed in the form of developing and implementing an approach to assess the level of innovative-investment potential in the region in order to identify prospects for the implementation of public-private partnerships. The research methodology involves the application of various methods, the key among which is the method of taxonomic analysis. The key components of innovative-investment potential and the indicators for which the assessment was conducted have been identified. Special attention is given to economic-financial indicators. The work of the taxonomic approach in the context of our research is described. The key indicators of assessment of innovative-investment potential for each city in the selected region have been calculated. Standardized values for each calculation result have been determined. A ranking of all cities according to their potential level was carried out, and it was determined which of them has the greatest security potential for the implementation of public-private partnerships. As a result, the obtained data showed the practical value of the proposed assessment method. The research has limitations in the form of taking into account the specifics and information of only one region of the country. Prospects for further research include expanding the regional aspect in conducting assessments.

Static Stability Behavior-Based Seismic Damage Endurance Assessment of Long-Span Single-Layer Spherical Lattice Shells

ABSTRACT This paper presents a modified evaluation approach for the structural-capacity-reserve (SCR) based on the static stability behavior of single-layer spherical lattice shells to achieve more accurate assessment results of seismic damage endurance. The SCR index in this paper is calculated by integrating the redefined residual structural capacity (RSC) ratio based on post-earthquake static stability behavior within the range of damage degrees caused by strong earthquakes. Compared with the assessment work for seismic damage endurance in the existing literature, the proposed RSC ratio in this paper could take into account both ultimate load-bearing strength and residual deformation. Additionally, the specific quantitative indicator in the proposed assessment method should also be determined according to whether the residual nodal displacement of the lattice shell after an earthquake exceeds the limit value state specified by the design code. The numerical results in the case study indicate that the residual load-bearing strength of the lattice shell remains relatively constant under the same damage state induced by different earthquakes, with residual deformation significantly impacting the assessment of seismic damage endurance. Thereby, the required RSC can be controlled by reducing the residual nodal displacements of the lattice shell under strong earthquakes to achieve a well-balanced design scheme.

GENERAL CONDITION ASSESSMENT METHOD FOR SIGNALIZED INTERSECTIONS: THE CASE OF IBAGUE, COLOMBIA

This study proposes a new method created to perform a universal assessment on the status of signalized intersections implemented in the city of Ibague, Colombia. The condition of each signalized intersection is classified according to parameters established to improve vehicular and pedestrian traffic, as well as the long-term development of the city. To achieve the research objective, the aspects to be evaluated are divided in two categories: Functionality and Utility, as well as specific criteria for each of them. Therefore, field data is collected using a geospatial tool and assigning levels of importance associated with a numerical scale that is plotted on maps of influence. We can therefore conclude that the proposed assessment method is not only necessary, but suitable for the evaluation of signalized intersections, which effectively assess the pertinent aspects, granting a rating supported by their respective analysis, and making the comparison of their specific conditions over time possible. For example, in the case study of Ibague 2023, according to the evaluation method, 59% of the intersections were ranked in the lowest states of the scale, also showing that between 2018 and 2023 there was an overall decay, as most of the intersections (85%) lowered their ratings and degraded to a greater extent compared to those with improvements.

Assessing journals through a three-dimensional framework based on article citation, author and institution influence

Journal assessment is of great significance to promote the development of academic platforms. Citation analysis is a recognised tool to assess the citation performance of journals. However, due to the shortcomings such as the inflated Journal Impact Factor and heterogeneity of the citations, additional dimensions are necessary to be considered to balance with the article citation. This article constructs a three-dimensional journal assessment framework to measure the comprehensive influence of a journal based on article citation, author and institution influence. The CRITIC-Entropy weighting method is employed to calculate the weighted average scores for the three dimensions, respectively. Then, a newly defined Pareto-dominated set-based sum of TOPSIS score (PDS-based STS) approach is developed to assess the comprehensive influence of journals. A sample of 76 journals in Economics field is selected to demonstrate the effectiveness and validity of the proposed assessment method. The Chartered Association of Business Schools’ Academic Journal Guide 2021 (CABS-AJG 2021) which is an expert-based journal rating is chosen as a baseline model. It has been found that the assessment method using PDS-based STS shows a more rational journal ranking than that based on the Journal Impact Factor if using the CABS-AJG 2021’s ratings as the benchmark model.

Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model

As the data-driven Francis turbine units (FTUs) deterioration assessment method is widely investigated, the data quality in actual industrial scene has become an important prerequisite to restrict the method performance. However, existing data augmentation methods often lie in simply mixing real data and simulated data, ignoring the inherent cross-domain state relationships. In this paper, a data-model-interactive enhancement-based FTU health condition assessment using graph driven health benchmark model (HBM) is proposed. First, the pseudo-signals outputs of the mechanism digital twin (DT) model by calculative fluid dynamics (CFD) calculation are modified by critical working condition parameters, extending the theoretical assessment domain. To achieve data-model-interaction through cross-domain state coordination of digital and real data, a digital-reality hybrid graph is constructed from nodes mixing both actual and pseudo through node similarity. The hybrid spatial condition structure created by capture node status association explicitly enhances the sample representation ability. Avoiding excess noise effects, a knowledge-based unsupervised graph pruning regulation is adopted to refine the original graph considering noise and data reality. Finally, the spatial–temporal dependencies hidden in the refined graphs are mined by the designed hybrid graph neural network-based HBM, and output the assessed degradation label values. Verification experiments show that the proposed assessment method can effectively fit FTU deterioration under low-quality onsite data, and is more robust than the comparison methods.

Capacity assessment of the recurrent disposal of dredged materials in a marine disposal area

The capacity assessment of a marine disposal area can not only give full play to the role of the ocean in receiving dredged materials, but also provide a scientific basis for the management of the marine disposal area. This paper presents an assessment method for the capacity of a marine disposal area based on numerical models. The assessment is considered in terms of maintaining navigation security in the authorized marine disposal area and its nearby waterways and decreasing the effect of the suspended sediment concentration on the environmentally sensitive areas. To reproduce the dumping situation, a marine disposal area is discretized into tens or hundreds of point sources. The depositions in a marine disposal area and its nearby waterways are determined by the sediment transport model, which governs the transport of dredged sediment. The capacity of the marine disposal area is finally determined based on the navigable depth in the marine disposal area and its nearby waterways and the water quality requirement for the environmentally sensitive areas. A case study of Dongying marine disposal area in Laizhou Bay, China is presented. Numerical results indicate that to ensure safe navigation and to meet the water quality requirement for the environmentally sensitive areas, the annual capacity of Dongying marine disposal area can be up to 4.8 ×107 m3. The proposed assessment method can provide scientific basis for the selection and delimitation of marine disposal areas.

Compaction Quality Control and Assurance of Silt Subgrade Using Roller-Integrated Compaction Monitoring Technology

Abstract The compaction quality is critical to the stability and durability of highway subgrades. Currently, there is a clear lack of research on the specific application effects of roller-integrated compaction monitoring (RICM) technology and RICM measurement values for silty soil, which are difficult to compact and have unique material properties. In addition, practical applications have shown that existing assessment methods based on geostatistical methods have many shortcomings that need to be addressed urgently. In this study, RICM technology was combined with a real-time kinematic Beidou positioning system to monitor the compaction of subgrades filled with two types of silt. First, field experiments were conducted, and the correlations between the RICM measurements, compaction parameters, and in situ measurements were analyzed. The compaction control value (CCV) was then selected by comparing with E to achieve a more reliable monitoring and assessment. Subsequently, different types of quality regression models were established to find a model that considers the advantages of accuracy and convenience, which was then used to estimate the compaction quality. Subsequently, a CCV- and Green spline interpolation-based method was proposed to calculate both the CCV and compaction quality and draw color-coded maps at any location. A case study demonstrated that CCV are highly correlated with the compaction parameters and the compactness and can serve as a reliable index for monitoring compaction quality owing to its strong stability and low dispersion. Taking moisture content into account can make the regression model more statistically significant and improve the correlation. The proposed assessment method effectively solves the problems of the existing method. A rapid and continuous assessment covering 100 % of the work area can be achieved using the proposed method to provide timely identification of quality defect areas and feedback improvement, thus realizing effective quality control and quality assurance of highway subgrades.

Concordance in oral frailty five-item checklist and oral hypofunction: Examining their respective characteristics

ObjectivesThis study examined the diagnostic concordance and characteristics of the oral frailty five-item checklist (OF-5) and oral hypofunction (OHF). Materials and methodsIn this extensive cross-sectional study, older adults were enrolled at a research hospital frailty clinic between July 2021 and July 2023. The diagnosis of OF-5 and OHF was conducted using the proposed assessment methods. The concordance rate of these criteria was determined by evaluating each patient and calculating the number of patients meeting each diagnosis's criteria. Patients who tested negative for the OF-5 and OHF criteria and those who met only one criterion were included in the OF-5 and OHF characteristic analysis. ResultsA total of 248 patients were included in the analysis (mean age 77.6 ± 6.8 years; 36.7 % men). Among the patients, 114 (46.0 %) and 116 (46.8 %) met the OF-5 and OHF criteria, respectively. Furthermore, 78 (31.5 %) participants met both the OF-5 and OHF criteria, whereas 96 (38.7 %) did not meet either criterion. Moreover, 36 (14.5 %) and 38 (15.3 %) patients tested exclusively positive for OF-5 and OHF, respectively. The OF-5-positive and OHF-negative group showed an older age, lower Mini Nutritional Assessment Short Form score, and higher fall risk than the OF-5-negative and OHF-negative group. However, no significant differences were observed between the OF-5-negative and OHF-positive and OF-5-negative and OHF-negative groups. ConclusionThe concordance rate of OF-5 and OHF diagnoses was 70.2 %. OF-5 showed a potential association with nutritional status and fall risk. Further longitudinal analyses are warranted to explore our study results.

Inertia and Primary Frequency Response Requirement Assessment for High-Penetration Renewable Power Systems Based on Planning Perspective

In order to ensure the sustainable development of energy, the development of new power systems with a high penetration of renewable energy has become a key research direction in the field of power systems. This paper studies the system frequency response process and key indicators from the perspective of high-penetration renewable power systems and proposes an inertia and primary frequency response requirement assessment method for power system planning under high renewable penetration. First, by analyzing the frequency dynamic response process, the key parameters affecting frequency stability are determined, and the evolution trend of system inertia with increasing renewable penetration is analyzed. Second, based on the real-system data, the inertia and primary frequency response parameters for each generator are obtained. With the planning generation mix and load as the goal, whether the synchronous generators in the target system can meet the frequency stability requirements is determined. Finally, with the system inertia demand under the maximum rate of change of frequency (RoCoF) constraint as the starting point, we iteratively increase inertia and the primary frequency response capacity until the minimum matching configuration is found. The simulation results verify the correctness of the proposed assessment method. This method considers various processes in frequency response and multiple influencing factors, providing a practical evaluation tool for the inertia and primary frequency response requirements of high-penetration renewable power systems.

Operating performance assessment based on stacked performance‐relevant enhanced denoising auto‐encoder for industrial processes

AbstractAs an effective way to ensure the economic benefits of enterprises, process operating performance assessment has attracted more and more attention from industry and academia in recent years. In this paper, a stacked performance‐relevant enhanced denoising autoencoder (SPEDAE) network is designed for the operating performance assessment of industrial processes. Compared to the original denoising auto‐encoder (DAE), each performance‐relevant enhanced denoising auto‐encoder (PEDAE) not only reconstructs the input features in the output layer, but also strives to reconstruct the original input data and the performance grade labels simultaneously. Then the SPEDAE is formed by stacking multiple PEDAEs layer by layer. Through this improved training strategy, SPEDAE can avoid accumulated information loss during the deep feature extraction process, improve the robustness of the network, and extract features closely related to the operating performance, thereby better completing the assessment task. The effectiveness of the proposed assessment method is validated on the case of gold cyanide leaching process. Compared with several methods, the proposed SPEDAE has the highest accuracy and reaches 99.85%, which demonstrates its superiority in operating performance assessment.

The development of a method for assessing the preparation of aviation personnel participated in ensuresing flight safety

The problem solved in the research is to increase the efficiency of decision making in the tasks of professional training of pilots while ensuring the specified reliability, regardless of the hierarchy of the system of evaluation indicators. The object of the research is the professional training system for civil aviation pilots. The subject of the research is the process of assessing the qualities of civil aviation pilots using fuzzy cognitive maps. The hypothesis of the research is to increase the number of indicators for assessing the quality of training of civil aviation pilots with restrictions on the efficiency and reliability of decision making. A method has been developed for assessing the preparedness of aviation personnel involved in ensuring flight safety. The method consists of the following sequence of actions: – input of initial data; – standardization of numerical values of concepts of a fuzzy cognitive model of preparedness of aviation personnel involved in ensuring flight safety; – transition of numerical values of concepts of a fuzzy cognitive model of preparedness of aviation personnel involved in ensuring flight safety; – building a fuzzy cognitive model; – determination of quantitative estimates (ranks) of the importance of model elements; – calculation of importance indices of model elements. Based on the results of the analysis of the effectiveness of the proposed method, it is clear that the proposed assessment method increases the accuracy of the assessment of aviation personnel involved in ensuring flight safety by 23 % compared to the known ones. It is advisable to use the developed method in decision making support systems for assessing the quality of professional training of aviation personnel in order to increase the efficiency and reliability of decisions made.