A novel interval-valued fuzzy MCDM method for improving airlines’ service quality in Chinese cross-strait airlines

Ming-Shin Kuo

Transportation Research Part E: Logistics and Transportation Review, 2011, vol. 47, issue 6, 1177-1193

Abstract: This paper presents an effective approach based on combining VIKOR, GRA, and interval-valued fuzzy sets to evaluate service quality of Chinese cross-strait passenger airlines via customer surveys. The proposed approach can enable decision-makers to understand the gaps between alternatives and aspired levels. An empirical study is used to establish a complete service quality evaluation framework for reducing the gaps to achieve the aspired level. Based on the gaps in priorities, it can help an airline to identify its own strengths and weaknesses in specific areas of passenger service to further improve service quality.

Keywords: MCDM; VIKOR; GRA; Service quality; Interval-valued fuzzy sets (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554511000664
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:47:y:2011:i:6:p:1177-1193

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

DOI: 10.1016/j.tre.2011.05.007

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().