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Assessing the Risks of Airport Airside through the Fuzzy Logic-Based Failure Modes, Effect, and Criticality Analysis

dc.citation.woscount0
dc.contributor.authorFeng, Cheng-Minen_US
dc.contributor.authorChung, Chi-Chunen_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.date.accessioned2014-12-08T15:30:26Z
dc.date.available2014-12-08T15:30:26Z
dc.date.issued2013en_US
dc.description.abstractTo identify risk items, measure risk value objectively, and establish risk assessment matrix of airports is the major task of airport safety. This paper first extracts 14 risk items of airports from the International Civil Aviation Organization (ICAO) aviation accidents database and then applies Failure Modes, Effect and Criticality Analysis (FMECA) to define the decision factors of probability, severity and detectability of airport risks. This paper also designs a questionnaire and applies fuzzy logic to discover the importance of decision factors, to find out the threshold value of Risk Assessment Matrix, and to prioritize the airport risks. This paper uses Taiwan Taoyuan International Airport as a case study to demonstrate the modeling process and analyze the results.en_US
dc.identifier.doi10.1155/2013/239523en_US
dc.identifier.issn1024-123Xen_US
dc.identifier.journalMATHEMATICAL PROBLEMS IN ENGINEERINGen_US
dc.identifier.urihttp://dx.doi.org/10.1155/2013/239523en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/21769
dc.identifier.wosnumberWOS:000318076100001
dc.language.isoen_USen_US
dc.titleAssessing the Risks of Airport Airside through the Fuzzy Logic-Based Failure Modes, Effect, and Criticality Analysisen_US
dc.typeArticleen_US

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