A model integrating fuzzy AHP with QFD for assessing technical factors in aviation safety

Chuen Jyh Chen, Shih Ming Yang, Shih Chuan Chang

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

We developed a model that integrates fuzzy logic, the analytic hierarchy process (AHP), and quality function deployment (QFD) to evaluate the importance weighting of the technical factors in aviation safety, as defined by the International Air Transport Association. AHP evaluates the technical factors using pairwise comparisons, and QFD categorizes the relationship between the criteria and subcriteria using expert knowledge. Based on a questionnaire given to aviation professionals, the model shows that the importance weightings of technical factors “Extensive engine failure, uncontained engine fire,” “Design, manufacture,” and “Engine overheat, propeller failure” are most significant. The result also shows that the over-valued and/or under-valued factors predicted by the conventional AHP model can be better described by the integrated fuzzy AHP and QFD models.

Original languageEnglish
Pages (from-to)761-774
Number of pages14
JournalInternational Journal of Machine Learning and Cybernetics
Volume5
Issue number5
DOIs
Publication statusPublished - 2014 Oct

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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