An intuitionistic fuzzy approach for evaluating service quality of public transportation systems

Erkan Celik*, Alev Taskin Gumus, Nezir Aydin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Service quality evaluation has become a main area of interest for practitioners, managers, researchers and policy makers, who have inclined on the passengers’ service. In this paper, intuitionistic fuzzy TOPSIS approach is applied to evaluate service quality of rail transit systems of Istanbul. A total of 6553 surveys are conducted and analyzed in seven rail lines with respect to 20 service qualities.

Original languageEnglish
Title of host publicationUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
EditorsJie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages936-942
Number of pages7
ISBN (Electronic)9789813146969
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France
Duration: 24 Aug 201626 Aug 2016

Publication series

NameUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

Conference

ConferenceUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Country/TerritoryFrance
CityRoubaix
Period24/08/1626/08/16

Keywords

  • Intuitionistic fuzzy sets
  • Rail transit lines
  • Service quality
  • TOPSIS

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