English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 51896/87052 (60%)
造訪人次 : 8462162      線上人數 : 79
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/74401


    題名: 以飛航風險評估為基礎之派遣支援決策方法
    其他題名: A decision support tool for flight dispatch based on flight risk assessment
    作者: 郭益祥;Kuo, Yi-Shiang
    貢獻者: 淡江大學資訊管理學系碩士班
    鄭啟斌;Cheng, Chi-Bin
    關鍵詞: 飛航作業風險評估系統;模糊推論系統;決策支援;遺傳演算法;Flight Operation Risk Assessment System;Fuzzy Inference System;Decision Support;Genetic Algorithm
    日期: 2011
    上傳時間: 2011-12-28 18:32:30 (UTC+8)
    摘要: 本研究之目的在於判定影響每一航班飛航安全之重要因素,並提供其調整方式,作為航空公司飛航簽派人員進行重新派遣作業時之參考。本研究以個案航空公司建置之飛航作業風險評估系統為基礎,該系統會在每一航班起飛前2小時,就派遣內容評估其風險值。當風險值過高時,應進行派遣內容調整以避免可能之安全性問題。本研究之作法是以一安全範圍內之風險值為目標,然後搜尋最小幅度之派遣內容修改,以期達到目標風險值。該航空公司之飛航作業風險評估系統乃以模糊推論系統為核心,因此本研究所發展之搜尋演算法亦以模糊規則之因果架構逆推可能之派遣內容組合。為了驗證本演算法之效能,本研究以該航空公司實際之飛行派遣資料進行實驗,並比較本演算法與遺傳演算法兩者之建議與原始派遣所衍生之風險值間的差異。
    This study presents a decision support tool to identify the critical risk factors of a flight in advance, and to suggest adjustments of such factors for the dispatcher to reduce the flight’s risk. The case study airline has established a Flight Operation Risk Assessment System (FORAS) to evaluate the risk of a flight two hours before its departure; nevertheless, the function of critical risk factor identification and its corresponding adjustment suggestion is absent in the system. The present study proposes a search algorithm that is based on FORAS and its fuzzy reasoning mechanism to carry out the function of critical risk factor identification and adjustment suggestion. The algorithm is triggered when the risk of a flight is beyond the warning line. A target risk value in the safety zone is given, and the algorithm traces backward along the fuzzy rules in FORAS and finds the critical factors and the required changes of these factors to meet the target risk value. To justify the performance of the proposed algorithm, the real flight data from the case study airline are used, and the results are compared with that by a genetic algorithm.
    顯示於類別:[資訊管理學系暨研究所] 學位論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    index.html0KbHTML137檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋