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

Authors

Erkan Celik
Ozge Nalan Bilisik
Melike Erdogan
Alev Taskin Gumus
Hayri Baracli

Document Type

Journal Article

Publication Date

2013

Subject Area

ridership - perceptions, ridership - attitudes, mode - bus, mode - subway/metro, place - asia, place - europe

Keywords

Interval type-2 fuzzy0 sets, GRA, TOPSIS, Customer satisfaction, Public transportation, Istanbul

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.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part E Home Page:

http://www.sciencedirect.com/science/journal/13665545

Recommended Citation

Cewlik, E., Bilisik, O.N., Erdogan, M.,Gumus, A.T., & Baracli, H. (2013). 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 Review, Vol. 58, pp 28-51.