A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation
A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation
Safety is a critical element in the air transport industry. Although fatal air accidents are rare compared to other transport industries, the rapid growth in air travel demands has resulted in a growing aviation risk exposure and new challenges in the aviation sector. Although the issue of airline safety is of serious public concern, notably few studies have investigated the safety efficiency of airlines. This paper aims to propose a novel hybrid method using fuzzy data envelopment analysis (DEA) and fuzzy multi-attribute decision making (F-MADM) for ranking the airlines’ safety. In this study, fuzzy DEA is utilized to calculate criteria weights, in contrast to the conventional approach of using DEA for measuring the efficiency of alternatives. A ranking of each airline (DMU) on the basis of obtained weights is then assessed using MADM methods. Six MADM methods including Fuzzy SAW, Fuzzy TOPSIS, Fuzzy VIKOR, ARAS-F, COPRAS-F and Fuzzy MULTIMOORA are implemented to rank the alternatives, and finally, the results are compounded with the utility interval technique. This new hybrid method can efficiently overcome the pitfalls of traditional hybrid DEA-MADM models. The method proposed in this study is used to evaluate the safety levels of seven Iranian airlines and to select the safest one.
Airline safety, Fuzzy DEA, Fuzzy MADM, Utility interval
134-149
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3
Dahooei, Jalil Heidary
370390a8-f66d-46da-83c3-82d94a893f00
1 October 2018
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3
Dahooei, Jalil Heidary
370390a8-f66d-46da-83c3-82d94a893f00
Barak, Sasan and Dahooei, Jalil Heidary
(2018)
A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation.
Journal of Air Transport Management, 73, .
(doi:10.1016/j.jairtraman.2018.09.001).
Abstract
Safety is a critical element in the air transport industry. Although fatal air accidents are rare compared to other transport industries, the rapid growth in air travel demands has resulted in a growing aviation risk exposure and new challenges in the aviation sector. Although the issue of airline safety is of serious public concern, notably few studies have investigated the safety efficiency of airlines. This paper aims to propose a novel hybrid method using fuzzy data envelopment analysis (DEA) and fuzzy multi-attribute decision making (F-MADM) for ranking the airlines’ safety. In this study, fuzzy DEA is utilized to calculate criteria weights, in contrast to the conventional approach of using DEA for measuring the efficiency of alternatives. A ranking of each airline (DMU) on the basis of obtained weights is then assessed using MADM methods. Six MADM methods including Fuzzy SAW, Fuzzy TOPSIS, Fuzzy VIKOR, ARAS-F, COPRAS-F and Fuzzy MULTIMOORA are implemented to rank the alternatives, and finally, the results are compounded with the utility interval technique. This new hybrid method can efficiently overcome the pitfalls of traditional hybrid DEA-MADM models. The method proposed in this study is used to evaluate the safety levels of seven Iranian airlines and to select the safest one.
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Accepted/In Press date: 11 September 2018
e-pub ahead of print date: 20 September 2018
Published date: 1 October 2018
Keywords:
Airline safety, Fuzzy DEA, Fuzzy MADM, Utility interval
Identifiers
Local EPrints ID: 434855
URI: http://eprints.soton.ac.uk/id/eprint/434855
ISSN: 0969-6997
PURE UUID: 47987d09-f00a-4c13-82ec-8c86cdacd7f0
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Date deposited: 11 Oct 2019 16:30
Last modified: 16 Mar 2024 04:42
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Author:
Jalil Heidary Dahooei
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