A MULTI-CRITERIA DECISION-MAKING APPROACH THAT COMBINES FUZZY TOPSIS AND DEA METHODOLOGIES

Authors

  • Osman Taylan Dr. Osman Taylan, Ph.D. King Abdulaziz University College of Engineering Industrial Engineering Department
  • Hisham Alidrisi Dr. Hisham Alidrisi King Abdulaziz University College of Engineering Industrial Engineering Department
  • Mohammad Kabli Dr. Mohammed Kabli King Abdulaziz University College of Engineering Industrial Engineering Department

DOI:

https://doi.org/10.7166/25-3-667

Keywords:

Fuzzy set, TOPSIS, DEA, and Air traffic controllers

Abstract

Employee selection is a multi-criteria decision-making (MCDM) problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs) for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA) was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decision- makers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs. 

Downloads

Download data is not yet available.

Author Biographies

Osman Taylan, Dr. Osman Taylan, Ph.D. King Abdulaziz University College of Engineering Industrial Engineering Department

Assoc. Prof. Dr.

Industrial Engineering Department

Hisham Alidrisi, Dr. Hisham Alidrisi King Abdulaziz University College of Engineering Industrial Engineering Department

Assisstant Professor

Industrial Engineering Department

Mohammad Kabli, Dr. Mohammed Kabli King Abdulaziz University College of Engineering Industrial Engineering Department

Assisstant Prof. Dr.

Industrial Engineering Department

Downloads

Published

2014-08-22

How to Cite

Taylan, O., Alidrisi, H., & Kabli, M. (2014). A MULTI-CRITERIA DECISION-MAKING APPROACH THAT COMBINES FUZZY TOPSIS AND DEA METHODOLOGIES. The South African Journal of Industrial Engineering, 25(3), 39–56. https://doi.org/10.7166/25-3-667

Issue

Vol. 25 No. 3 (2014)

Section

General Articles

License

Authors who publish in the Journal agree to the following terms:
  1. Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.