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

To 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.

[1]  Ta-Chun Wen,et al.  A novel efficient approach for DFMEA combining 2-tuple and the OWA operator , 2010, Expert Syst. Appl..

[2]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[3]  Lotfi A. Zadeh,et al.  The Calculus of Fuzzy If/Then Rules , 1992, Fuzzy Days.

[4]  Ching-Hsue Cheng,et al.  A risk assessment methodology using intuitionistic fuzzy set in FMEA , 2010, Int. J. Syst. Sci..

[5]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[6]  Abdul Raouf,et al.  A revised failure mode and effects analysis model , 1996 .

[7]  S. Rahman Reliability Engineering and System Safety , 2011 .

[8]  Masud Yunesian,et al.  A novel, fuzzy-based air quality index (FAQI) for air quality assessment , 2011 .

[9]  Milan Janic,et al.  AN ASSESSMENT OF RISK AND SAFETY IN CIVIL AVIATION , 2000 .

[10]  Nune Ravi Sankar,et al.  Modified approach for prioritization of failures in a system failure mode and effects analysis , 2001 .

[11]  F. Hawkins Human factors in aviation. , 1979, Journal of psychosomatic research.

[12]  Michael Hadjimichael,et al.  A fuzzy expert system for aviation risk assessment , 2009, Expert Syst. Appl..

[13]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[14]  H. W. Heinrich,et al.  Industrial Accident Prevention: a Scientific Approach , 1951 .

[15]  Battelle-Institut,et al.  Society, technology, and risk assessment , 1980 .

[16]  Roger M. Cooke,et al.  Applications of some risk assessment techniques: Formal expert judgement and accident sequence precursors , 1997 .

[17]  Jian-Bo Yang,et al.  Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean , 2009, Expert Syst. Appl..

[18]  J. B. Bowles,et al.  Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis , 1995 .

[19]  Loon Ching Tang,et al.  Fuzzy assessment of FMEA for engine systems , 2002, Reliab. Eng. Syst. Saf..

[20]  David C. Nagel,et al.  Human factors in aviation , 1988 .

[21]  Hu-Chen Liu,et al.  Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory , 2011, Expert Syst. Appl..

[22]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..