Open AccessA Hybrid Approach Based on Grey Correlation Analysis and Fuzzy Comprehensive Judgment for Evaluating Service Quality of Passenger Train
Author(s) -
Wanxiang Wang,
Qi Lan Zhao,
Guoqiang Ren
Publication year - 2014
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2014/195496
Subject(s) - service quality , service (business) , fuzzy logic , passenger train , transport engineering , quality (philosophy) , index (typography) , computer science , field (mathematics) , engineering , operations research , automotive engineering , artificial intelligence , mathematics , business , philosophy , epistemology , marketing , world wide web , pure mathematics
The satisfaction of passengers plays an important role in choosing the transportation mode which directly influences train service quality. Based on passengers’ needs, the evaluation index system of train service quality was built. A field example was applied in Chinese high-speed rail, G33 passenger train. The evaluation value of service quality can be calculated by the hybrid method based on grey correlation analysis (GCA) and fuzzy comprehensive judgment (FCJ). The result indicates that the index system and the integration of GCA and FCJ could effectively evaluate passenger train service quality