Improving airline service quality based on rough set theory and flow graphs

Liou, James J. H.; Chuang, Yen-Ching; Hsu, Chen‐Chin

doi:10.1080/21681015.2015.1113571

Cited by 12 publications

(9 citation statements)

References 32 publications

(45 reference statements)

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“…Consequently, Namukasa (2013) argued that delivering better service quality in the airline industry, the customer is of prime importance because nowadays, airline passengers are more focused on the service quality they experience. Several researchers reported the same research finding (Hussain et al, 2015;Liou et al, 2016;Jiang & Zhang, 2016 satisfaction (Li et al, 2017). Gupta (2018) has used the 'Best Worst Method' to grade a range of service quality attributes in airlines and has concluded that the "tangibility" dimension is the most vital element of service quality.…”

Section: They Stated That Customer Satisfaction Is the Difference Betmentioning

confidence: 89%

Assessing the Effect of Airline Service Quality on Image and Post Purchase Behavioral Intention

Singh

Nika

2020

ENLIGHTENING TOURISM

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Section: They Stated That Customer Satisfaction Is the Difference Betmentioning

confidence: 89%

Assessing the Effect of Airline Service Quality on Image and Post Purchase Behavioral Intention

Singh

Nika

2020

ENLIGHTENING TOURISM

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“…Pawlak [28] developed a soft computing method named rough set theory (RSA), which involves determining the behavior pattern between decision and condition attributes on the mathematical basis of set theory. The RSA also enables the simultaneous processing of quantitative and qualitative data [29]. The theory enables the processing of inconsistent information without prior knowledge [30], such as probability distribution.…”

Section: Methodsmentioning

confidence: 99%

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

et al. 2020

Self Cite

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Competency for ESD (education for sustainable development) of university teachers is the key to the sustainable development of higher education. Developing teachers’ competency for ESD poses a new challenge for Chinese universities. Ideally, a new faculty development system should be established. However, this strategy is not feasible because of cost concerns, and improving competency for ESD by using the existing teacher competency training system is preferred. Therefore, this paper employed a specific data mining method to create a relationship model between the existing teacher competency system and the ESD competency according to teacher evaluation data. The developed model was used to analyze the teachers’ core competencies that are critical to ESD competency and derive decision rules for formulating improvement strategies. The teacher competency model was applied to the International Scholarly Exchange Curriculum (ISEC) program implemented at regional universities in China to conduct an empirical case study. The results of this study are anticipated to enable the formulation of an effective and appropriate strategy for improving teachers’ competency for ESD in the existing teacher development system.

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“…Zhai et al [46] used rough numbers, a set of interval values that are clearly transformed from a crisp group, to show subjectivity and imprecise human thinking in a multiple-attribute decision-making (MADM) environment. Since the application of rough number theory to address decision problems does not require any auxiliary information, the theory is better able to capture the perception of experts [47][48][49]. The detailed steps are as follows:…”

Section: The Rough Numbermentioning

confidence: 99%

A Rough Hybrid Multicriteria Decision-Making Model for Improving the Quality of a Research Information System

Shao¹,

Liou²,

Weng³

et al. 2019

Symmetry

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Improving the quality of research information systems is an important goal in the process of improving the performance of research management in Chinese universities. Since the evaluation of information system (IS) quality is a multicriteria decision problem, it is critical to identify the interrelationships among the dimensions and criteria, and decide on the important criteria for proposed improvement strategies. This paper suggests a hybrid multicriteria decision-making (MCDM) model for improving the quality of a research information system. First, a rough method combined with the decision-making trial and evaluation laboratory and analytical network process (rough DANP) model is used to improve the objectivity of expert judgements. Additionally, the rough DANP can be used to construct an influential network relationship map (INRM) between research information system components to derive the criterion weights. The complex proportional assessment of alternatives with rough numbers (COPRAS-R) is applied to evaluate the performance of the research information system. A Chinese university research information system is chosen to illustrate the usefulness of the proposed model. The results show that efficiency, effectiveness, and user frequency have the highest priorities for improvement. Selected management implications based on the actual case study are supplied.

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Improving airline service quality based on rough set theory and flow graphs

Cited by 12 publications

References 32 publications

Assessing the Effect of Airline Service Quality on Image and Post Purchase Behavioral Intention

Assessing the Effect of Airline Service Quality on Image and Post Purchase Behavioral Intention

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

A Rough Hybrid Multicriteria Decision-Making Model for Improving the Quality of a Research Information System

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