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

Chuen Jyh Chen, Shih Ming Yang, Shih Chuan Chang

研究成果: Article同行評審

16 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)761-774
頁數14
期刊International Journal of Machine Learning and Cybernetics
5
發行號5
DOIs
出版狀態Published - 2014 十月

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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