淡江大學機構典藏:Item 987654321/127205
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    题名: Flight Safety Management - Quantitative and AI Approaches
    作者: Cheng, Chi-Bin;Shyur, Huan-Jyh
    关键词: Flight safety;Aviation Safety;Fuzzy logic;Flight Operations Quality Assurance System (FOQA);Flight Operations Risk Assessment System (FORAS);Commercial airline;Risk assessment;Flight data analytics;Deep learning
    日期: 2025-02-24
    上传时间: 2025-03-20 12:15:01 (UTC+8)
    出版者: Springer, Singapore
    摘要: This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines. Flight safety is commonly the core values of airlines. Serious flight disasters always bring tremendous impacts and losses to the industry and the society; thus, airlines and the authorities always treat the issues of flight safety management as the first priority. It presents the information systems that assist the safety staff and managers to adopt preventive operations or to analyze the critical factors or operations that cause a flight event. Such information systems were developed based on artificial intelligence and quantitative approaches, including fuzzy logic, expert systems, deep learning, decision-making methods, reliability theory, and data mining. After introducing the flight safety management practice and common programs, as well as basic artificial intelligence and quantitative approaches, the book describes in detail the information systems we have developed and provides instructions for flight safety practitioners to implement such information systems in their organizations. Case studies collected from the cooperated airline are also presented.
    關聯: Studies in Systems, Decision and Control
    1
    显示于类别:[資訊管理學系暨研究所] 專書

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