Method for Proactive Quality Control of Aviation Security of Airports Using Inverse Interval Weighted Average

Abstract

Level of aviation security (AS) of an airport depends on the state of officers of the airport security service (SS) and engineering systems and devices used by them during passengers and hand luggage inspection, baggage inspection, passenger pass control, etc. In practice, it is important to determine, which factors influence the overall level of quality of the AS the most. Due to the subjective nature of the notion of quality, the AS needs to be modeled using linguistic concepts. In this paper, we propose to model the AS using a specific instance of a perceptual computer. Using this model, it is possible to perform proactive quality control of AS by setting the desired target level of the overall quality and relative weights of each input factor, and then obtaining the values for each factor. This approach can be considered as inverse to the linguistic weighted average used in perceptual computers to obtain the output. In the paper, we introduce the method for proactive quality control of airport AS in a simpler case when the linguistic concepts in the perceptual computer are modeled using intervals, and propose a method for solving the inverse interval weighted average problem.