Abstract:
This paper describes about a decision system for air-lane monitoring. An automatic controlling system is developed in aircraft to handle a situation where it is very hard...Show MoreMetadata
Abstract:
This paper describes about a decision system for air-lane monitoring. An automatic controlling system is developed in aircraft to handle a situation where it is very hard to take a right decision for pilot. In order to resolve this issue a new fuzzy type-2 logic system is developed, which is proposed in this paper. An air-lane scenario is taken and implemented the new type-2 Fuzzy Logic system. Earlier developed Type-1 fuzzy logic system was not able to handle this scenario precisely. An overview of both type-1 and type-2 fuzzy system is presented here. In type-2 fuzzy system four parameters: distance, bearing, class and altitude are considered to compute the output matrix, based on the matrix system takes a constant decision. The computation is based on Mamdani inference method. Implemented fuzzy logic system gives a better result in terms of uncertainty handling and robustness. This is proved in our result section.
Published in: 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)
Date of Conference: 19-20 May 2017
Date Added to IEEE Xplore: 15 January 2018
ISBN Information: