Akyuz E, Celik E (2015) A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. J Loss Prev Process Ind 38:243-253. https://doi.org/10.1016/j.jlp.2015.10.006
Balin A, Demirel H, Alarcin F (2016a) A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures. J Mar Eng Technol 15(2):69-78. https://doi.org/10.1080/20464177.2016.1216252
Balin A, Demirel H, Alarcin F (2016b) An evaluation approach for eliminating the failure effect in gas turbine using fuzzy multiple criteria. Trans R Inst Nav Arch 158(part a):219-230. https://doi.org/10.3940/rina.ijme.a3.377
Brotherton T, Jahns G, Jacobs J, Wroblewski D (2000) Prognosis of faults in gas turbine engines. Aerospace Conf Proc IEEE 6:163-171. https://doi.org/10.1109/AERO.2000.877892
Celik E, Akyuz E (2016) Application of interval type-2 fuzzy sets DEMATEL methods in maritime transportation:the case of ship collision. Int J Mar Eng 158(A4):359-372. https://doi.org/10.3390/app10113919
Celik E, Gul M, Aydin N, Gumus AT, Guneri AF (2015) A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets. Knowl-Based Syst 85:329-341. https://doi.org/10.1016/j.knosys.2015.06.004
Diakunchak IS (1992) Performance deterioration in industrial gas turbines. J Eng Gas Turbines Power 114(2):161-168. https://doi.org/10.1115/1.2906565
Gabus A, Fontela E (1972) World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva, pp 1-8
Gölcük ?, Baykaso?lu A (2016) An analysis of DEMATEL approaches for criteria interaction handling within ANP. Expert Syst Appl 46:346-366. https://doi.org/10.1016/j.eswa.2015.10.041
Gul M, Guneri AF, Derin B (2014) Evaluation of service quality criteria for a private medical center by using SERVQUAL and DEMATEL methods. Sigma 32:240-253
Gul M, Celik E, Aydin N, Gumus AT, Guneri AF (2016) A state of the art literature review of VIKOR and its fuzzy extensions on applications. Appl Soft Comput 46:60-89. https://doi.org/10.1016/j.asoc.2016.04.040
Gumus AT, Yayla AY, Celik E, Yildiz A (2013) A combined fuzzy-AHP and fuzzy-GRA methodology for hydrogen energy storage method selection in Turkey. Energies 6(6):3017-3032. https://doi.org/10.3390/en6063017
Hsu CY, Chen KT, Tzeng GH (2007) FMCDM with fuzzy DEMATEL approach for customers’ choice behavior model. Int J Fuzzy Syst 9(4):236-246
Lin RJ (2013) Using fuzzy DEMATEL to evaluate the green supply chain management practices. J Clean Prod 40:32-39. https://doi.org/10.1016/j.jclepro.2011.06.010
Liou JJ, Yen L, Tzeng GH (2008) Building an effective safety management system for airlines. J Air Transp Manag 14(1):20-26. https://doi.org/10.1016/j.jairtraman.2007.10.002
Lu F, Chen Y, Huang J, Zhang D, Liu N (2014) An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics. Proc Inst Mech Eng G J Aerospace Eng 228(11):2007-2021. https://doi.org/10.1177/0954410013511596
Merrington G, Kwon OK, Goodwin G, Carlsson B (1990) Fault detection and diagnosis in gas turbines. In:ASME 1990 International Gas Turbine and Aeroengine Congress and Exposition, V005T15A010-V005T15A010. https://doi.org/10.1115/1.2906559
Onat O, Celik E (2017) An integral based fuzzy approach to evaluate waste materials for concrete. Smart Struct Syst 19(3):323-333. https://doi.org/10.12989/sss.2017.19.3.323
Orsagh RF, Sheldon J, Klenke CJ (2003) Prognostics/diagnostics for gas turbine engine bearings. The 2003 International Joint Power Generation Conference, pp 159-167. https://doi.org/10.1115/GT2003-38075
Perera LP, Machado MM, Valland A, Manguinho DA (2015) Modelling of system failures in gas turbine engines on offshore platforms. IFAC Pap OnLine 48(6):194-199. https://doi.org/10.1016/j.ifacol.2015.08.031
Roemer MJ, Kacprzynski GJ (2000) Advanced diagnostics and prognostics for gas turbine engine risk assessment. Aerospace Conf Proc IEEE 6:345-353. https://doi.org/10.1109/AERO.2000.877909
Ross TJ (1995) Fuzzy logic with engineering applications, vol 592. McGraw-Hill, Inc, New York
Simani S (2005) Identification and fault diagnosis of a simulated model of an industrial gas turbine. IEEE Trans Ind Inform 1(3):202-216. https://doi.org/10.1109/TII.2005.844425
Simani S, Fantuzzi C, Spina PR (1998) Application of a neural network in gas turbine control sensor fault detection. IEEE Conf Control Appl Proc 1:182-186. https://doi.org/10.1109/CCA.1998.728322
Soner O, Celik E, Akyuz E (2017) Application of AHP and VIKOR methods in maritime transportation under interval type-2 fuzzy environment. Ocean Eng 129:107-116. https://doi.org/10.1016/j.oceaneng.2016.11.010
Stamatis A, Mathioudakis K, Papailiou KD (1990) Adaptive simulation of gas turbine performance. J Eng Gas Turbines Power 112(2):168-175. https://doi.org/10.1115/1.2906157
Tayarani-Bathaie SS, Vanini ZS, Khorasani K (2014) Dynamic neural network-based fault diagnosis of gas turbine engines. Neurocomputing 125:153-165. https://doi.org/10.1016/j.neucom.2012.06.050
Urban LA (1975) Parameter selection for multiple fault diagnostics of gas turbine engines. J Eng Power 97(2):225-230. https://doi.org/10.1115/1.3445969
Wu WW, Lee YT (2007) Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst Appl 32(2):499-507. https://doi.org/10.1016/j.eswa.2005.12.005
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zedda M, Singh R (2002) Gas turbine engine and sensor fault diagnosis using optimization techniques. J Propuls Power 18(5):1019-1025. https://doi.org/10.2514/2.6050