A review of fuzzy AHP methods for decision-making with subjective judgements

Liu, Yan; Eckert, Claudia; Earl, Christopher

doi:10.1016/j.eswa.2020.113738

Cited by 619 publications

(418 citation statements)

References 157 publications

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“…This method was developed to assist decision-makers using multiple criteria. However, the AHP method is not favoured among researchers because it introduces imprecision as it requires the judgements of experts (Liu et al, 2020).…”

Section: Higher Education Service Qualitymentioning

confidence: 99%

Students’ perceptions of service quality in Saudi universities: the SERVPERF model

Sohail

Hasan

2021

LTHE

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Purpose The purpose of this study is to examine the influence of service quality on student’s satisfaction. Design/methodology/approach Using empirical research, the study identified previously validated scales of service quality and student satisfaction. Using the SERVPERF scale, data were collected from 279 students studying in public and private universities across Saudi Arabia. The model fit of the scale was assessed to ensure that the data produced accurate outcomes. Structural equation modelling was used to test the effects of independent variables on dependent variables. Findings The results suggest that four of the five dimensions of service quality, namely, tangibility, reliability, responsiveness and assurance had a significant effect on students’ satisfaction. Empathy was not found to contribute to student satisfaction. The findings broaden and deepen our understanding of how the dimensions of service quality reinforce students’ satisfaction. Research limitations/implications Future research can also incorporate in the model other variables, academic and non-academic, related to student satisfaction. Practical implications The results have useful implications for decision-makers in higher education institutions who strive to enhance students’ satisfaction and increase the quality of higher education programmes, particularly in Saudi Arabia and the Gulf region in general. Originality/value This study uses the SERVPERF scale, which is empirically superior to the SERVQUAL scale for measuring student satisfaction.

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Section: Higher Education Service Qualitymentioning

confidence: 99%

Students’ perceptions of service quality in Saudi universities: the SERVPERF model

Sohail

Hasan

2021

LTHE

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“…Deterministic MCDM techniques are preferred because the data presented in the DKG report are deterministic. When the problem includes uncertainty, popular fuzzy MCDM methods ( Zadeh, 1965 , Atanassov, 1986 , Chen, 2000 , Mendel et al, 2006 , Chen and Lee, 2010 , Özceylan and Paksoy, 2013 , Ghorabaee et al, 2016 , Gnanavelbabu and Arunagiri, 2018 , Liu et al, 2020 , Wang and Li, 2020 ) should be used to come with the imprecise data.…”

Section: Methodologiesmentioning

confidence: 99%

Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment

Hezer

Gelmez

Özceylan

2021

Journal of Infection and Public Health

115

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COVID-19, which emerged in December 2019, has affected the entire world. Therefore, COVID-19 has been a subject of research in various disciplines, especially in the field of health. One of these studies was the report made by the Deep Knowledge Group (DKG) consortium in which safe regions for COVID-19 were determined. In the report, the main criteria of quarantine efficiency, government efficiency of risk management, monitoring and detection, health readiness, regional resilience, and emergency preparedness are used in the evaluation of countries and regions (alternatives). As the data and research structure used in this report are based on multi-criteria, the purpose of this study is to evaluate and analyse the safety levels of 100 regions in the world in terms of COVID-19 using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), Vise Kriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Complex Proportional Assessment (COPRAS) methods. The data and information required in the methods were obtained from a report prepared by the DKG. The results of the methods were compared with the ranking results presented in a report of the DKG. Accordingly, it has been observed that the method that provides the closest results to the results of the report is the COPRAS method, and the method that gives the most distant results is the VIKOR method.

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“…However, the core technique used for calculating the weights in their approach, i.e. extent analysis method, is problematic because it could produce invalid results [18]. Zhu, et al [19] compute the teaching performance based on fuzzy data envelopment analysis (DEA) method.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Undergraduate Course based on a Fuzzy AHP-FIS Model

Liu¹,

Zhang²

2020

IJMECS

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A review of fuzzy AHP methods for decision-making with subjective judgements

Abstract: Christopher (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Systems With Applications, 161, article no. 113738. For guidance on citations see FAQs.

Cited by 619 publications

References 157 publications

Students’ perceptions of service quality in Saudi universities: the SERVPERF model

Students’ perceptions of service quality in Saudi universities: the SERVPERF model

Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment

Evaluating the Undergraduate Course based on a Fuzzy AHP-FIS Model

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