Type-2 Fuzzy Logic and a Case Study Applied to Air Traffic Control
- Lima, M. P.Escola Politécnica, Universidade Federal da Bahia
- Fontes, C. H.Escola Politécnica, Universidade Federal da Bahia
- Schnitman, L.Aeroporto Internacional de Salvador – Força Aérea Brasileira
- Journal
- Journal of the Brazilian Air Transportation Research Society (JBATS) · ISSN 1808-3331
- Edition
- v. 6, n. 2, 2010 · pp. 25-45
- Received / accepted
- 2009-10-10 / 2010-05-10
- Editor-in-chief
- João Batista Camargo Jr. (Escola Politécnica, Universidade de São Paulo)
Abstract
Type-2 fuzzy logic deals with certain aspects that traditional fuzzy logic (type-1) is unable to solve, such as the uncertainty present in the definition of fuzzy sets. This work presents a fuzzy logic approach to support decision making in air traffic control. It describes the development of a model structured according to type-2 fuzzy logic and based on human specialist knowledge applied to takeoff permission. A methodology for the validation of the model was also developed. The results show the potential and efficiency of the methodology proposed to support decision making in air traffic control.
Keywords: fuzzy systems; type-2 fuzzy logic; air traffic control; modeling; decision making