Apply data mining techniques to analyze flight safety risk factors

碩士 === 淡江大學 === 資訊管理學系碩士班 === 102 === The FORAS (Flight Operation Risk Assessment System) model is to represent the risk of a flight as a chain of the flight operations in terms of risk factors using a hierarchical structure which breaks down the concerned operation risk of the flight, e.g. approach...

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Bibliographic Details
Main Authors: Min-Hao Hsu, 許珉豪
Other Authors: 徐煥智
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/12394432523805746703
Description
Summary:碩士 === 淡江大學 === 資訊管理學系碩士班 === 102 === The FORAS (Flight Operation Risk Assessment System) model is to represent the risk of a flight as a chain of the flight operations in terms of risk factors using a hierarchical structure which breaks down the concerned operation risk of the flight, e.g. approach and landing risk, to its causal operation risks.The importance of risk factors defined in a FORAS system, which is currently developed by an international airline, has been analyzed by data mining techniques in this study. The original system considers more than 70 risk factors to create risk inference model.However, in this study, it has been suggested that around 40% of risk factors need to be reconsidered or removed from the original model. In additional, cluster analysis has been applied to figure out the patterns of potential higher risk areas for various fleets and flight regions.