PMID- 32989347
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1873-2089 (Electronic)
IS  - 0969-6997 (Print)
IS  - 0969-6997 (Linking)
VI  - 89
DP  - 2020 Oct
TI  - Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets.
PG  - 101924
LID - 10.1016/j.jairtraman.2020.101924 [doi]
AB  - The selection of the appropriate aircraft can bring competitive advantages to 
      airlines, however, there are a number of factors which introduce a degree of 
      uncertainty to the selection process. By removing this uncertainty, airlines can 
      increase their chances of achieving their long-term goals. New Multi-Criteria 
      Decision Making (MCDM) methods provide decision-makers with a satisfactory 
      solution for choosing suitable aircraft. Therefore, we focused on the 
      multi-dimensional evaluation and selection of the most suitable commercial 
      aircraft alternatives by using new MCDM method. This article provides decision 
      support to airline planners on the selection of commercial aircraft under 
      uncertainty. In the study, unlike other studies in the literature on aircraft 
      selection, the model presented here uses an Interval Type-2 Fuzzy Analytical 
      Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order 
      Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The 
      proposed model for aircraft selection allows commercial airlines to evaluate the 
      aircraft in terms of specific criteria: economic performance, technical 
      performance, and environmental impact, and, as a result, it helps decision makers 
      select appropriate aircraft in an uncertain environment. In addition to use by 
      commercial airlines, the methods in the study can also be applied to the 
      selection of training aircraft, cargo aircraft and military aircraft. Our 
      findings show that the Airbus A321neo is the most suitable commercial aircraft in 
      terms of technical aspects, economic aspects and environmental aspects for 
      airlines.
CI  - (c) 2020 Elsevier Ltd. All rights reserved.
FAU - Kiraci, Kasim
AU  - Kiraci K
AD  - Iskenderun Technical University, Faculty of Aeronautics and Astronautics, 
      Department of Aviation Management Central Campus, 31200, Iskenderun, Hatay, 
      Turkey.
FAU - Akan, Ercan
AU  - Akan E
AD  - Iskenderun Technical University, Barbaros Hayrettin Naval Architecture and 
      Maritime Faculty, Maritime Transportation Management Engineering, Central Campus, 
      31200, Iskenderun, Hatay, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20200923
PL  - England
TA  - J Air Transp Manag
JT  - Journal of air transport management
JID - 101765683
PMC - PMC7510450
OTO - NOTNLM
OT  - AHP
OT  - Aircraft selection
OT  - Interval Type-2 fuzzy sets
OT  - TOPSIS
EDAT- 2020/09/30 06:00
MHDA- 2020/09/30 06:01
PMCR- 2020/09/23
CRDT- 2020/09/29 05:36
PHST- 2020/01/21 00:00 [received]
PHST- 2020/07/12 00:00 [revised]
PHST- 2020/08/23 00:00 [accepted]
PHST- 2020/09/29 05:36 [entrez]
PHST- 2020/09/30 06:00 [pubmed]
PHST- 2020/09/30 06:01 [medline]
PHST- 2020/09/23 00:00 [pmc-release]
AID - S0969-6997(20)30507-X [pii]
AID - 101924 [pii]
AID - 10.1016/j.jairtraman.2020.101924 [doi]
PST - ppublish
SO  - J Air Transp Manag. 2020 Oct;89:101924. doi: 10.1016/j.jairtraman.2020.101924. 
      Epub 2020 Sep 23.