Decision fusion using type-1 fuzzy logic for situation assessment in aviation scenarios
Aditi Prabhu, Harsha Manivannan, Karthik Sridhar, Shakeel Ahmed, Lakshmi Shrinivasan · 2014
With the advent of powerful long-range radars and beyond visual range (BVR) missiles, pilots are increasingly reliant on the sensors on board the aircraft to make tactical decisions. Real time decisions require the pilot to assimilate and process large amounts of data from multiple sources in a short span of time. This problem is further compounded when there are multiple unknown targets or, in the case of an extremely complex air scenario, involving multiple friendly and enemy aircrafts. Hence, there is a need for an automated system, which is robust and comprehensive, to aid in the decision-making activity. In this paper, a situation assessment system is developed using type-1 fuzzy logic (T1FL) for three aviation scenarios. The main aim is to replicate a pilot's mental thought process and implement the same in the form of an automated system. These three situations are simulated with multiple variations of the standard aviation scenarios.