Evaluating the customer perceptions on in-flight service quality
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
In the competitive aviation market as a result of the emergence of charter airlines have had to reconsider their in-flight services approach to service provision. Specifically, the in-flight comfort offered based on the service quality perception. However, in-flight service quality is always vague and hard to express in exact number. Therefore, this study applies fuzzy-grey method based to deal with the vagueness and uncertainty. The objective of this study aims to deal with domestic airline in-flight service quality with uncertainty. The study is a key strategic direction of domestic airlines in Taiwan. In general, these considering criteria are self-structured. The results are as follows, (i) the weights of criteria and alternatives are described in linguistic preferences; (ii) using a grey possibility degree to result the ranking order for all alternatives; (iii) an empirical example of in-flight service quality ranking problem in customer perspective. Key words: Grey theory, triangular fuzzy numbers, in-flight service quality, linguistic preferences.
