A hybrid type-2 fuzzy based supplier performance evaluation methodology: The Turkish Airlines technic case

Grener, Ali; Ayvaz, Berk; Kuakc, A. Osman; Altnok, Emir

doi:10.1016/j.asoc.2017.03.026

Cited by 54 publications

(24 citation statements)

References 27 publications

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“…The studies conducted in the field of aviation using type-2 Fuzzy methods are as follows: Deveci et al (2017) IT2Fs examined route choice using the FTOPSIS method. Görener et al (2017) addressed the issue of supplier performance evaluation using IT2FFAHP and IT2FTOPSIS. Deveci et al (2018) , improving service quality using MCDM methods was examined.…”

Section: Introductionmentioning

confidence: 99%

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Kiracı

Akan

2020

Journal of Air Transport Management

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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.

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Section: Introductionmentioning

confidence: 99%

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Kiracı

Akan

2020

Journal of Air Transport Management

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“…Interval type-2 AHP and TOPSIS methods were used to select an appropriate ship loader type in maritime transport [50]. IT2F-TOPSIS method was used to select a material [55], a new route from five different destinations for one airline [48] a green supplier [56], a supplier [51] and RFID for warehouses [52] and to assess supplier performance for an airline [57] and investment projects for development agencies [58].…”

Section: Interval Type 2 Fuzzy Topsis Methodologymentioning

confidence: 99%

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Özbek

Yıldız

2020

Tekstil Ve Konfeksiyon

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The aim of this study was to use the interval type-2 fuzzy TOPSIS method to select the best supplier among a number of suppliers digitized by Industry 4.0 for a company operating in the garment industry. The interval type-2 fuzzy TOPSIS method involves an interval of type-2 fuzzy sets and can model uncertainties very well to solve fuzzy multi-criteria decision making problems. Alternatives were listed based on closeness indexes, and the best digital supplier was selected based on sensitivity analysis. This is the first study to use the model in question to select the best digital supplier for a company. We, therefore, believe that it will contribute to the literature. It is recommended that the model in question be used in other industries as well.

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“…In this subsection, to validate the effectiveness and feasibility of the proposed method for the evaluation of alternative locations to set up isolation hospitals, we performed a comparative analysis with other two methods, including Interval Type‐2 Fuzzy‐based AHP and TOPSIS method, which is introduced by Gorener et al 59 and Interval Type‐2 Fuzzy‐based WASPAS method, which is proposed by Ghorabaee et al 60 The results reveal that the integrated Delphi‐based BWM and interval type‐2 fuzzy TOPSIS framework generate consistent and reasonable results with the other existing methods (see Table 7). This proposed Delphi‐based BWM and Interval Type‐2 Fuzzy TOPSIS framework are reasonable and practical for evaluating the location of isolation hospitals against COVID‐19 outbreak.…”

Section: Applicationmentioning

confidence: 99%

Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method

Aydın

Şeker

2021

Int J Intell Syst

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The existing contagious epidemic disease, [SARS]‐CoV‐2, has been one of the biggest public health problems that humankind combatting against since December 2019. Answering the increase in the number of infected patients during the pandemic is one of the biggest challenges for healthcare systems, where resources have already been employed by a significant number of patients. While assigning most of the resources to infected people is an effective way in a short‐term planning, its bitter effects on regular healthcare cannot be undervalued. Moreover, within this plan the risk of spreading the disease to other patients and healthcare providers is another risk that should not be underestimated. Therefore, in this study, we proposed the Delphi‐based multicriteria decision‐making (MCDM) framework for selecting the most appropriate location for an isolation hospital serving only epidemic‐based patients with mild to moderate symptoms. The integrated framework consists of Delphi, Best–Worst Method, and interval type‐2 fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. Nine most effecting criteria are considered in the evaluation of five alternative locations in a real case study conducted at the European side of Istanbul. Ataturk Airport is determined as the best location to set up an isolation hospital based on determined nine evaluation criteria. The effectiveness and robustness of the framework are analyzed through comparative and sensitivity analyses.

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A hybrid type-2 fuzzy based supplier performance evaluation methodology: The Turkish Airlines technic case

Cited by 54 publications

References 27 publications

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Digital Supplier Selection for a Garment Business Using Interval Type-2 Fuzzy Topsis

Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method

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