A validation research on fuzzy logic-AHP-based assessment method of operator’s situation awareness reliability

2019 ◽  
Vol 119 ◽  
pp. 344-352 ◽  
Author(s):  
Pengcheng Li ◽  
Xiaofang Li ◽  
Li Zhang ◽  
Licao Dai
Keyword(s):  
Fuzzy Logic ◽  
Situation Awareness ◽  
Assessment Method ◽  
Validation Research

An assessment method of operator’s situation awareness reliability based on fuzzy logic-AHP

2019 ◽  
Vol 119 ◽  
pp. 330-343 ◽  
Author(s):  
Pengcheng Li ◽  
Li Zhang ◽  
Licao Dai ◽  
Yanhua Zou ◽  
Xiaofang Li
Keyword(s):  
Fuzzy Logic ◽  
Situation Awareness ◽  
Assessment Method

scholarly journals Underground Risk Index Assessment and Prediction Using a Simplified Hierarchical Fuzzy Logic Model and Kalman Filter

Processes ◽  
2018 ◽  
Vol 6 (8) ◽  
pp. 103 ◽  
Author(s):  
Muhammad Fayaz ◽  
Israr Ullah ◽  
Do-Hyeun Kim
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Fuzzy Inference ◽  
Risk Index ◽  
Significant Risk ◽  
Assessment Method ◽  
Logic Model ◽  
Membership Functions ◽  
Inference System ◽  
Fuzzy Logic Model

Normally, most of the accidents that occur in underground facilities are not instantaneous; rather, hazards build up gradually behind the scenes and are invisible due to the inherent structure of these facilities. An efficient inference system is highly desirable to monitor these facilities to avoid such accidents beforehand. A fuzzy inference system is a significant risk assessment method, but there are three critical challenges associated with fuzzy inference-based systems, i.e., rules determination, membership functions (MFs) distribution determination, and rules reduction to deal with the problem of dimensionality. In this paper, a simplified hierarchical fuzzy logic (SHFL) model has been suggested to assess underground risk while addressing the associated challenges. For rule determination, two new rule-designing and determination methods are introduced, namely average rules-based (ARB) and max rules-based (MRB). To determine efficient membership functions (MFs), a module named the heuristic-based membership functions allocation (HBMFA) module has been added to the conventional Mamdani fuzzy logic method. For rule reduction, a hierarchical fuzzy logic model with a distinct configuration has been proposed. In the simplified hierarchical fuzzy logic (SHFL) model, we have also tried to minimize rules as well as the number of levels of the hierarchical structure fuzzy logic model. After risk index assessment, the risk index prediction is carried out using a Kalman filter. The prediction of the risk index is significant because it could help caretakers to take preventive measures in time and prevent underground accidents. The results indicate that the suggested technique is an excellent choice for risk index assessment and prediction.

scholarly journals Physiological Measurements of Situation Awareness: A Systematic Review

2020 ◽  
pp. 001872082096907
Author(s):  
Ting Zhang ◽  
Jing Yang ◽  
Nade Liang ◽  
Brandon J. Pitts ◽  
Kwaku O. Prakah-Asante ◽  
...  
Keyword(s):  
Situation Awareness ◽  
Assessment Method ◽  
Measurement Information ◽  
Eligibility Criteria ◽  
Physiological Measurement ◽  
Assessment Technique ◽  
Wide Range ◽  
Physiological Sensing ◽  
Future Work ◽  
The Relationship

Objective The goal of this review is to investigate the relationship between indirect physiological measurements and direct measures of situation awareness (SA). Background Assessments of SA are often performed using techniques designed specifically to directly measure SA, such as SA global assessment technique (SAGAT), situation present assessment method (SPAM), and/or SA rating technique (SART). However, research suggests that physiological sensing methods may also be capable of inferring SA. Method Seven databases were searched. Eligibility criteria included human–subject experiments that used at least one direct SA assessment technique as well as at least one physiological measurement. Information extracted from each article were the physiological metric(s), direct SA measurement(s), correlation between these two metrics, and experimental task(s). Results Twenty-five articles were included in this review. Eye tracking techniques were the most commonly used physiological measures, and correlations between conscious aspects of eye movement measures and direct SA scores were observed. Evidence for cardiovascular predictors of SA was mixed. Only three electroencephalography (EEG) studies were identified, and their results suggest that EEG was sensitive to changes in SA. Overall, medium correlations were observed among the studies that reported a correlation coefficient between physiological and direct SA measures. Conclusion Reviewed studies observed relationships between a wide range of physiological measurements and direct assessments of SA. However, further investigations are needed to methodically collect more evidence. Application This review provides researchers and practitioners a summary of observed methods to indirectly assess SA with sensors and highlights research gaps to be addressed in future work.

scholarly journals Quantitative Assessment of Dynamic Stability Characteristics for Jet Transport in Sudden Plunging Motion

2021 ◽  
Author(s):  
Yonghu Wang ◽  
Ray C. Chang ◽  
Wei Jiang
Keyword(s):  
Fuzzy Logic ◽  
Dynamic Stability ◽  
Quantitative Assessment ◽  
Normal Load ◽  
Unsteady Aerodynamics ◽  
Assessment Method ◽  
Load Factor ◽  
Gravitational Acceleration ◽  
Transport Aircraft ◽  
Motion Modes

Abstract The main objective of this article is to present a training program of loss control prevention for the airlines to enhance aviation safety and operational efficiency. The assessments of dynamic stability characteristics based on the approaches of oscillatory motion and eigenvalue motion modes for jet transport aircraft response to sudden plunging motions are demonstrated in this article. A twin-jet transport aircraft encountering severe clear-air turbulence in transonic flight during the descending phase will be examined as the study case. The flight results in sudden plunging motions with abrupt changes in attitude and gravitational acceleration (i.e. the normal load factor). Development of the required thrust and aerodynamic models with the flight data mining and the fuzzy-logic modeling techniques will be presented. The oscillatory derivatives extracted from these aerodynamic models are then used in the study of variations in stability characteristics during the sudden plunging motion. The fuzzy-logic aerodynamic models are utilized to estimate the nonlinear unsteady aerodynamics while performing numerical integration of flight dynamic equations. The eigenvalues of all motion modes are obtained during time integration. The present quantitative assessment method is an innovation to examine possible mitigation concepts of accident prevention and promote the understanding of aerodynamic responses of the jet transport aircraft.

scholarly journals An Improved Assessment Method for FMEA for a Shipboard Integrated Electric Propulsion System Using Fuzzy Logic and DEMATEL Theory

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3162 ◽  
Author(s):  
Liu ◽  
Guo ◽  
Zhang
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Electric Propulsion ◽  
Failure Modes ◽  
Search Algorithm ◽  
Assessment Method ◽  
Security Threats ◽  
System Failures ◽  
Domain Experts ◽  
Risk Levels

Shipboard integrated electric propulsion systems (IEPSs) are prone to suffer from system failures and security threats because of their complex functional structures and poor operational environments. An improved assessment method for failure mode and effects analysis (FMEA), integrating fuzzy logic and decision–making trial and evaluation laboratory (DEMATEL) theory, is proposed to enhance the system’s reliability and handle the correlation effects between failure modes and causes. In this method, information entropy and qualitative analysis are synthesized to determine the credibility weights of domain experts. Each risk factor and its relative importance are evaluated by linguistic terms and fuzzy ratings. The benchmark adjustment search algorithm is designed to obtain the alpha-level sets of fuzzy risk priority numbers (RPNs) for defuzzification. The defuzzified RPNs are regarded as the inputs for the DEMATEL technique to investigate the causal degrees of failure modes and causes. Accordingly, the risk levels of the failure modes are prioritized with respect to the causal degrees. The practical application to the typical failure modes of the propulsion subsystem is provided. The assessment results show that this system contributes to risk priority decision-making and disastrous accident prevention.

Comparison of SAGAT and SPAM for Seeking Effective Way to Evaluate Situation Awareness and Workload During Air Traffic Control Task

2020 ◽  
Vol 64 (1) ◽  
pp. 1836-1840
Author(s):  
Mitsuki Fujino ◽  
Jieun Lee ◽  
Toshiaki Hirano ◽  
Yuichi Saito ◽  
Makoto Itoh
Keyword(s):  
Situation Awareness ◽  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Air Traffic Management ◽  
Assessment Method ◽  
Air Traffic ◽  
Traffic Density ◽  
Assessment Technique ◽  
Nasa Tlx

Evaluation of air traffic controller’s situation awareness (SA) is becoming important for air traffic management with the growth of air traffic. This study compared two SA evaluation methods: Situation Awareness Global Assessment Technique (SAGAT) and Situation Present Assessment Method (SPAM) to understand how these techniques affect controllers’ predictability in different traffic density settings. Twenty students undertook simple air traffic control simulations by using both techniques. We investigated how these techniques affect their workload with Subjective Workload Assessment Technique (SWAT) and NASA-TLX. SWAT scores showed that high traffic density increased participants’ workload, and extra workload was posed right after answering SA queries. NASA-TLX scores were larger when SAGAT was used than when SPAM was used throughout the simulation. We found that the workload with SAGAT interferes with main tasks more than that of SPAM. The results of query scores suggested that SPAM is more predictive to the assessment of the controller’s SA.

Sign in / Sign up

Export Citation Format

Share Document