Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey

Deveci, Muhammet; Özcan, Ender; John, Robert; Öner, Sultan Ceren

doi:10.1016/j.jairtraman.2018.01.008

Cited by 38 publications

(12 citation statements)

References 62 publications

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“… 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. However, no studies have been conducted to investigate aircraft performance using IT2Fs MCDM methods.…”

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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“…In this paper, a hybrid method based on fuzzy logic and the technique of similarity to ideal solution FTOPSIS is applied to calculate a synthetic satisfaction indicator on the selected hotels. This method is gaining popularity to measure service quality, risk assessments, or satisfaction in different research fields like for example: (1) hotels (Ban et al 2016;Benitez et al 2007 (Martín et al 2017a(Martín et al , 2017b; (6) tourist destinations (Martín et al 2019b); and (7) airlines (Deveci et al 2018).…”

Section: Methodsmentioning

confidence: 99%

The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg

Martı́n

Rudchenko

Rebull

2020

Administrative Sciences

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Although hotels usually have clients from different nationalities, the research analyses the multicultural effects on hotel customers’ satisfaction is still scant. This paper aims to contribute to the realm of hotel management by providing interesting managerial insights into how different nationalities perceive hotel attributes differently using two hotels located in Saint Petersburg as a case study. To that end, a fuzzy hybrid method based on the technique of similarity to ideal solution (FTOPSIS) is proposed. The results are based on a sample of 447 guests and show that: (1) nationality influences the hotel guests’ satisfaction; (2) customers are, in general, more elastic in three-star hotels than in four-star hotels; (3) welcome gifts in the room and in the bathroom are key attributes in the clients’ satisfaction; and (4) Italian and Spanish guests are the least and the most satisfied customers, respectively. The study offers a number of important managerial insights to hotel managers and practitioners. The average figures obtained by general hotel satisfaction surveys usually hinder important peculiarities that need to be addressed when managers develop strategic satisfaction enhancement programmes. In particular, our results show that managers need to adapt the programmes to the differences observed by nationalities.

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“…Since then, many scholars have used HFS as a powerful tool to describe decision-making information [14,15]. Plenty of MCDM methods related to hesitant fuzzy information have been developed [16][17][18]. The literature on typical hesitant fuzzy MCDM methods is summarized in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Performance of Green Mines via a Hesitant Fuzzy ORESTE–QUALIFLEX Method

et al. 2019

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Due to various environmental issues caused by resource exploitation, establishing green mines is an essential measure to realize sustainable growth for mining companies. This research aimed to develop a novel methodology to evaluate the performance of green mines within hesitant fuzzy conditions. First, hesitant fuzzy sets (HFSs) were used to express original fuzzy assessment values. Then, the extended expert grading approach and the modified maximum deviation method with HFNs were combined to determine comprehensive importance degrees of criteria. Afterward, the traditional qualitative flexible (QUALIFLEX) method was integrated with the Organísation, rangement et synthèse de données relationnelles (ORESTE) model to achieve the rankings of mines. Finally, the proposed hesitant fuzzy ORESTE–QUALIFLEX approach was utilized to evaluate the performance of green mines. In addition, the robustness of the method was verified by a sensitivity analysis, while the effectiveness and strengths were certified by a comparison analysis. The results indicate that the proposed methodology has great robustness and advantages and that it is feasible and effective for the performance evaluation of green mines under hesitant fuzzy environment.

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Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey

Cited by 38 publications

References 62 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

The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg

Assessing the Performance of Green Mines via a Hesitant Fuzzy ORESTE–QUALIFLEX Method

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