Manuscript Topics

The risk assessment and the influence of the social environment on the aviation system were examined by the experts. An autonomous pre-flight information processing system featuring an intelligence module to assist in making decisions regarding aircraft's scheduled departures is provided, along with the system's program realisation. The authors have given an algorithm for identifying the best airfield for an aircraft to be forced to land. Aviation sector estimation expert systems were created. Using a set-theoretical technique, heterogeneous elements of the aviation enterprise's internal and external management environment were generalised. This provided opportunities to determine which elements of the external environment—the state of the world economy and the degree of aviation safety—have the biggest effects.

In order to meet these airspace requirements, it is necessary to assess exactly how those measurements affect ATM and UTM operations. As a result, managing the rapidly expanding global air transport industry requires an understanding of the intricate linkages between these measures. Ontologies have been suggested as a possible technology to facilitate such expansion, allowing communication amongst avionics devices and making such interrelationships apparent. The Internet of Things (IoT) and other low-data sensors are coordinating to enable coordination in a CPS, including air traffic control, which is a feature of many existing engineering systems. Higher degrees of automation frequently offer the best option for inflexible jobs with no room for discretion in decision-making and a minimal chance of malfunctioning systems. Nevertheless, higher levels of automation are not advised in time-sensitive environments with numerous attached and transforming constraints, such as air traffic control and defence command and control operations, due to the risks involved and the complicated nature of the system. The processes to develop an intelligent decision support system for human operators of the Air Navigation System during an emergency are outlined. Architecture for the intelligent management module of the intelligent decision support system for manual labour in the air nautical system.

The impact of automation bias on intelligent decision support systems—especially those in the aviation industry—will be covered in this special issue. When humans are faced with a computer-generated answer that is deemed correct, they often ignore or fail to look for contradicting facts. This phenomenon, recognised as automation bias, can become more pronounced in sectors where time is of the essence. Whereas automated decision aids are intended to decrease human error, if they are not created with consideration for the limited thinking abilities of humans, they may instead introduce new faults into a system's performance.

Papers could consider, but are not limited to:  
1. Compact Aircraft Pilot Supervisor: An aircraft's integrated decision support system  
2. Specialist systems versus intellectual modelling for decision support in aircraft  
3. Path violation modelling in an aviation decision support system  
4. Standardised trajectory modelling for the national airspace system: Instruments for decision-making  
5. Innovative Approaches to Facilitate Operational Decision-Making in the Civil Aviation Sector  
6. An analytical and reporting method for naval aviation events  
7. Aircraft Navigation Action: A Preliminary Evaluation of Aeronautical Logistics  
8. Multi-Agent System-based intelligent decision support opinions in a military maintenance setting  
9. A method for making predictive decisions in the aerospace industry  
10. Aviation management of operations and mission-adaptive technologies for display  
11. System Properties and Contextual Restrictions for Upcoming Fighter Decision Assistance

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