A Hybrid Model Based on FAHP and WASPAS for Evaluation of Explosive and Narcotics Trace Detection Devices

Abstract

As a result of Industry 4.0, the aviation industry is started to be re-designed with cyber–physical systems, Internet of Things, cloud computing and similar technologies. In Aviation 4.0, where cyber–physical systems are used to assist humans’ unkind work and to complete tasks autonomously, security applications are one of the promising and tight operations that need to be considered. The detection of explosives and narcotics material for the purposes of aviation security is an important area for preventing terrorism and smuggling. For this purpose, there are some novel technologies (devices) in the framework of Aviation 4.0. Evaluation and selection the best device is a multi-criteria decision making (MCDM) problem which includes ambiguities and vagueness. To do so, fuzzy analytic hierarchy process (FAHP) is applied for assigning weights of the attributes and weighted aggregated sum product assessment (WASPAS) method is used to determine the most suitable alternative device for explosive and narcotics trace detection. As a result, three well-known devices in the market are evaluated and the best alternative is suggested. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.