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Content Provider | IEEE Xplore Digital Library |
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Author | Lovato, A.V. Oliveira, J.C.M. |
Copyright Year | 2010 |
Description | Author affiliation: Faculdade de Tecnologia e Ciências, Rua Antonio Orrico, 357, Bairro São José, Jequié - Bahia (BA) - Brazil - 45204-010 (Lovato, A.V.) || State University of Southwest Bahia, Bem Querer Street, Km 4, Vitória da Conquista - Bahia (BA) - Brazil - 45083-900 (Oliveira, J.C.M.) |
Abstract | Decision making systems in air traffic management have become necessary over the last few years due to the increase in flights. This paper shows how fuzzy control sets the flight change levels that can be used to route flight or approximation area on the airports, which implies in a decrease of air traffic controller workload. The description of the problem and the model used were initially shown, with the input and output variables. After that the fuzzy rules were defined and applied to the different study cases where imprecise results had been registered, so an approach to increase the precision was defined by modifying the universe's discourse while the airplane was approaching its destiny (climb or descent). Different examples are presented, showing the good results with the use of this approach, where the airplane reaches the goal level on the time defined by controller. The proposed system uses Mandani direct inference method. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 1212292 |
Page Count | 6 |
File Format | |
ISBN | 9781424469192 |
ISSN | 10987584 |
e-ISBN | 9781424469215 |
DOI | 10.1109/FUZZY.2010.5584274 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-07-18 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Airplanes Atmospheric modeling Air traffic control Orbits Decision making Airports Approximation methods |
Content Type | Text |
Resource Type | Article |
Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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