Evaluating the human performance factors of air traffic control in Thailand using Fuzzy Multi Criteria Decision Making method

Mukesh Pandey, Divya Shukla

Research output: Contribution to journalArticle


The paper aims to identify and evaluate the factors influencing the human performance of Air Traffic Control (ATC) in Thailand. The objective of the study has been operationalized utilizing the extended SHEL model of ergonomics. Fuzzy Graded Mean Integration method has been employed to establish the importance and Fuzzy Additive Ratio Assessment method was utilized to measure actual performance of the factors on the response received from all ten air traffic control centers of Thailand. The finding of study facilitates the insights for improvement of various dimensions and constructs for an effective human performance management for ATC in Thailand. The study fulfills the theoretical gap by employing the Fuzzy Multi Criteria Decision Making (MCDM) method of identifying and measuring human performance in ATC.
Original languageEnglish
Article number101708
JournalJournal of Air Transport Management
Early online date20 Aug 2019
Publication statusPublished - Oct 2019



  • Human performance factors
  • Air traffic control
  • SHEL model
  • Fuzzy MCDM

Cite this