English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26988/38789
Visitors : 2345283      Online Users : 39
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26084

Title: 應用灰關聯分析於台灣地區國際商港海事事故天然致因之研究
Applying Grey Relational Analysis to the Study of Natural Causes of Marine Incident in the International Harbors in Taiwan
Authors: 劉中平;梁金樹;朱經武
Chung-Ping Liu;Gin-Shuh Liang;Ching-Wu Chu
Contributors: NTOU:Department of Shipping and Transportation Management
Keywords: 海事事故;事故致因;灰色關聯分析
Marine Accident;Accident's causes;Grey Relational Analysis
Date: 2004-09-30
Issue Date: 2011-10-20T08:33:40Z
Publisher: 航運季刊
Maritime Quarterly
Abstract: 摘要:探討海事事故天然致因將有助於降低各港因天然因素引發之海事事故的肇事率。因天然致因無法被人類全然窺知,因而具有灰色特性,故本文運用灰色系統理論中的灰色關聯分析方法,建立了港口水域船舶事故主要天然致因的關聯分析模型。該模型既可為我國水上安全宏觀管理提供依據,也可為特定港口的安全管理提供依據。本文之研究結果,對於避免和減少港口事故的巨大經濟損失具有一定的意義與貢獻。
Abstract:That explore the natural causes of marine accident is helpful in reducing the possibility of marine accident in each harbor. The natural causes cannot be entirely known by humans, so they fit in with the grey characteristics. Based on Grey System Theory, this paper establishes an analysis model of the accident's natural causes on port vessels accidence. According to the analysis using the model, this paper finds out the natural causes of the port vessels accidence and the scientific basis of administration. The results of our research can significantly avoid and reduce the heavy loss of the port vessels accidence.
Relation: 13(3), pp.95-114
URI: http://ntour.ntou.edu.tw/handle/987654321/26084
Appears in Collections:[航運管理學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback