An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul
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.
Year of publication: |
2013
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Authors: | Celik, Erkan ; Bilisik, Ozge Nalan ; Erdogan, Melike ; Gumus, Alev Taskin ; Baracli, Hayri |
Published in: |
Transportation Research Part E: Logistics and Transportation Review. - Elsevier, ISSN 1366-5545. - Vol. 58.2013, C, p. 28-51
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Publisher: |
Elsevier |
Subject: | Interval type-2 fuzzy sets | GRA | TOPSIS | Customer satisfaction | Public transportation | Istanbul |
Saved in:
Online Resource