An Integrated TOPSIS, GRA and VIKOR Based on Interval Type-2 Fuzzy Method to Improve Customer Satisfaction in Public Transportation

Journal Title: Cumhuriyet Science journal - Year 2018, Vol 39, Issue 1

Abstract

Recently, multi-criteria decision making problems with interval type-2 fuzzy methods have received increasing attention both from researchers and practitioners. In this study, an interval type-2 fuzzy TOPSIS and GRA based VIKOR method is proposed for the evaluation of the customer satisfaction in all the transportation modes in Istanbul (metro, bus and bus rapid transit). Furthermore, the interval type-2 fuzzy TOPSIS method is also utilized to solve the problem. An online survey is conducted to investigate factors affecting public transport users’ satisfaction with the service. Data is collected from 323 public transport users in Istanbul. As a result, an interval type-2 fuzzy multi-criteria decision making method has been proposed for the evaluation of customer satisfaction in public transportation. The performances of various multi-criteria decision making methods are also compared with each other with a view to exploring the effectiveness and flexibility of proposed method and interval type-2 fuzzy TOPSIS method. The results show that the proposed method is reliable and practical for evaluate problems and other MCDM problems.

Authors and Affiliations

Muhammet Deveci

Keywords

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  • EP ID EP488488
  • DOI 10.17776/csj.347964
  • Views 45
  • Downloads 0

How To Cite

Muhammet Deveci (2018). An Integrated TOPSIS, GRA and VIKOR Based on Interval Type-2 Fuzzy Method to Improve Customer Satisfaction in Public Transportation. Cumhuriyet Science journal, 39(1), 274-293. https://europub.co.uk/articles/-A-488488