Perceptual Computing Based Method for Assessing Functional State of Aviation Enterprise Employees

Abstract

Safety of aircraft flights and aviation security in general highly depend on the correctness of actions performed by ground traffic control officers and on how well informed are the decisions made by the supervising officers. That said, the task of developing methods and tools for increasing the level of functional security of aviation enterprises is pressing. Such methods and tools must be aimed at determining factors causing negative influence of the human factor on aviation security, and mitigating their negative impact, including increasing awareness of decision makers.

In this paper, we present methods for increasing efficiency of control over aviation enterprise employees functional state during recruitment and afterwards. The proposed approach allows the decision maker to rank employees according to their functional state and thereby choose the most fit for the job.

Special features of the domain in question are the qualitative nature of assessments by experts of the components of the functional state of a person (physiological, physical, psychological, etc.), the presence of a wide range of uncertainties, and its ill-defined nature. To account for these features, we propose to apply results from the theory of perceptual computing, thereby making expert assessment of the functional state of employees of airports in a linguistic form.

The proposed approach is evaluated using examples involving expert assessment of the functional state of airport employees of two different work profiles.