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An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul

Transportation Research Part E Logistics and Transportation ReviewPublished 22 July 2013
Erkan Çelik, Özge Nalan Bilişik, Melike Erdoğan, Alev Taşkın Gümüş, Hayri Baraçlı
Citations199
SJR quartileQ1
SJR score2.51
SNIP2.37

Abstract

In this paper, the problems of public transportation customers in Istanbul are addressed and their satisfaction levels are evaluated by using customer satisfaction survey and statistical analysis. A novel interval type-2 fuzzy MCDM method is proposed based on TOPSIS and GRA, to evaluate and improve customer satisfaction in Istanbul public transportation. Then, the criteria need to be improved are determined and different improvement suggestions are made for all public transportation firms.

Keywords

Decision SciencesMathematicsBusiness, Management and Accounting