Controlling aeroplane crashing through aviation infrastructure using multi-agent technology

Abstract

Aeroplane crashing is a major concern for aviation safety. This article aim is to control aeroplane crashing through aviation infrastructure by using Multi-Agent Technology (MAT). For this 6 variables of aeroplane crashing, 20 variables of aviation infrastructure and 34 variables of MAT are extracted from the literatureto develop the information framework for the study. Fuzzy Multi-Criteria Decision-Making (FMCDM) technique is utilised to analyse prioritise, ranking, and identify interrelationship among them. The human error is evolved most significant factor of aeroplane crashing followed by others. For aviation infrastructure, runway is found to be the most important variable in global ranking. Whereas, in MAT pilot assistance agent is most prioritised variable in overall ranking. The proposed framework can assist the aviation industry to understand the behaviour of aviation infrastructure and MAT variables to control aeroplane crashing. The results of this study can be utilised by aviation professionals in improving aviation safety.

Keywords:

• Aeroplane crashing
• aviation infrastructure
• multi-agent technology (MAT)
• fuzzy analytical hierarchy process (FAHP)
• fuzzy decision-making trial and evaluation laboratory (FDEMATEL)
• fuzzy technique of order preference for singularity by ideal solution (FTOPSIS)

Disclosure statement

No potential conflict of interest was reported by the authors.