Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry

Mohammad Yazdi*, Orhan Korhan, Sahand Daneshvar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

97 Citations (Scopus)

Abstract

This study aimed at establishing fault tree analysis (FTA) using expert opinion to compute the probability of an event. To find the probability of the top event (TE), all probabilities of the basic events (BEs) should be available when the FTA is drawn. In this case, employing expert judgment can be used as an alternative to failure data in an awkward situation. The fuzzy analytical hierarchy process as a standard technique is used to give a specific weight to each expert, and fuzzy set theory is engaged for aggregating expert opinion. In this regard, the probability of BEs will be computed and, consequently, the probability of the TE obtained using Boolean algebra. Additionally, to reduce the probability of the TE in terms of three parameters (safety consequences, cost and benefit), the importance measurement technique and modified TOPSIS was employed. The effectiveness of the proposed approach is demonstrated with a real-life case study.

Original languageEnglish
Pages (from-to)319-335
Number of pages17
JournalInternational Journal of Occupational Safety and Ergonomics
Volume26
Issue number2
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • fault tree analysis
  • fuzzy set theory
  • chemical complex plant
  • expert judgment
  • TOPSIS

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