Determining the Consistency factor of Autopilot using Rough Set Theory
  Autopilot is a system designed to guide a vehicle without aid. Due to
increase in flight hours and complexity of modern day flight it has become
imperative to equip the aircrafts with autopilot. Thus reliability and
consistency of an Autopilot system becomes a crucial role in a flight. But the
increased complexity and demand for better accuracy has made the process of
evaluating the autopilot for consistency a difficult process .A vast amount of
imprecise data has been involved. Rough sets can be a potent tool for such kind
of Applications containing vague data. This paper proposes an approach towards
Consistency factor determination using Rough Set Theory. The seventeen basic
factors, that are crucial in determining the consistency of an Autopilot
system, are grouped into five Payloads based on their functionality.
Consistency Factor is evaluated through these payloads, using Rough Set Theory.
Consistency Factor determines the consistency and reliability of an autopilot
system and the conditions under which manual override becomes imperative. Using
Rough set Theory the most and the least influential factors towards Autopilot
system are also determined.
