A method to evaluate an aircraft operational risk

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00535228" target="_blank" >RIV/60162694:G43__/18:00535228 - isvavai.cz</a>
Result on the web
<a href="https://www.taylorfrancis.com/search?key=9780815386827" target="_blank" >https://www.taylorfrancis.com/search?key=9780815386827</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A method to evaluate an aircraft operational risk
Original language description
Improving performing and safety of the aircraft operation is one of the most important issues addressed by experts. Such improvement can result not only in the less frequent loss of equipment but primarily in the protection of health or saving lives of both crew members and others involved. Reducing such risks or minimizing impacts is possible by analyzing events, which had already occurred. In this paper, our main motivation consists in developing an effective and intelligent decision support system based on data mining techniques. In this context, data mining classifying algorithms with large datasets have been utilized to assess and analyse the risk factors statistically related to aircraft incidents in order to compare the performance of the implemented classifiers such as decision tree, discriminant and random forest. To nderscore the practical cost, i.e., effectiveness of our approach, the selected classifiers have been implemented using statistical programming tools with datasets taken from the operation process. This analysis is expected to find the algorithm, which can support the decision taking.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Safety and Reliability - Safe Societies in a Changing World Proceedings of ESREL 2018, S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, J. E. Vinnem (editors)
ISBN
9781351174657
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1441-1446
Publisher name
CRC Press
Place of publication
London
Event location
Tronheim, Norway
Event date
Jun 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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