An Integrated TOPSIS, GRA and VIKOR Based on Interval Type-2 Fuzzy Method to Improve Customer Satisfaction in Public Transportation
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.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Muhammet Deveci
Türkiye
Publication Date
March 16, 2018
Submission Date
October 31, 2017
Acceptance Date
March 15, 2018
Published in Issue
Year 2018 Volume: 39 Number: 1
Cited By
Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis
Mathematics
https://doi.org/10.3390/math9090940