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 journalArticle

9 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 Jan 1

Fingerprint

Quality function deployment
Analytic hierarchy process
Aviation
Engines
Propellers
Fuzzy logic
Fires
Air

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Cite this

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A model integrating fuzzy AHP with QFD for assessing technical factors in aviation safety. / Chen, Chuen Jyh; Yang, Shih-Ming; Chang, Shih Chuan.

In: International Journal of Machine Learning and Cybernetics, Vol. 5, No. 5, 01.01.2014, p. 761-774.

Research output: Contribution to journalArticle

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