Identifying critical dependencies using general Bayesian network: An application to aviation operation

Woo Shin Sung, Kang Inwon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes the general Bayesian network as a tool for identifying critical dependencies among complex human beliefs, especially for the case of airline service industry. When we consider an overall efficacy of the flight operation, to understand underlying beliefs between pilots and controllers is critical. However, even for the experts in organizational behavior, it is difficult to identify dependencies among such the beliefs. To tackle this ambiguous issue, we suggest the use of the general Bayesian network to automatically generate interesting hypotheses. The experimental results reveal the possibility of selective attention to the critical dependencies for achieving enhanced efficacy.

Original languageEnglish
Title of host publicationProceedings - Seventh ACIS International Conference on Software Eng., Artific. Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS Int. Workshop on SAWN 2006
Pages103-108
Number of pages6
DOIs
Publication statusPublished - 2006
Event7th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS International Workshop on Self-Assembling Wireless Networks, SAWN 2006 - Las Vegas, NV, United States
Duration: 19 Jun 200620 Jun 2006

Publication series

NameProc. - Seventh ACIS Int. Conf. on Software Eng., Artific. Intelligence, Netw., and Parallel/Distributed Comput., SNPD 2006, including Second ACIS Int. Worshop on SAWN 2006
Volume2006

Conference

Conference7th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS International Workshop on Self-Assembling Wireless Networks, SAWN 2006
Country/TerritoryUnited States
CityLas Vegas, NV
Period19/06/0620/06/06

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