Risk and safety management of artificial intelligence in aircraft

A tétel rövid nézete
dc.contributor.advisorAbdullah, Masuk
dc.contributor.authorMaidar , Anudari
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-03-04T09:59:29Z
dc.date.available2025-03-04T09:59:29Z
dc.date.created2024-11-22
dc.description.abstractThe study explores the use of artificial intelligence (AI) in aviation risk and safety management, focusing on fuzzy dynamic systems. The aviation industry faces challenges due to uncertainties and data fuzziness, making traditional risk assessment methods challenging. The aim is to improve decision-making for aircraft safety, including environmental, pilot, and mechanical health. The main goal is to build an enhanced fuzzy inference system (FIS) with an 85% accuracy rate, utilizing MATLAB computational tools and modular programming. The system's reasoning is clarified through visualization techniques, making it interpretable for stakeholders. This thesis contributes to the growing literature on AI application in aviation, highlighting the potential of fuzzy dynamic systems in safety management.
dc.description.courseVehicle Engineering
dc.description.degreeBSc/BA
dc.format.extent43
dc.identifier.urihttps://hdl.handle.net/2437/387819
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectArtificial Intelligence in Aviation
dc.subjectFuzzy Inference System (FIS)
dc.subjectAviation Safety Management
dc.subject.dspaceEngineering Sciences
dc.titleRisk and safety management of artificial intelligence in aircraft
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
THESIS.pdf
Méret:
754.48 KB
Formátum:
Adobe Portable Document Format
Leírás:
Megjelenítés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.69 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Theses (Department of Vehicles Engineering)