Abstract
An improved comprehensive weighted fuzzy TOPSIS method is proposed for ranking because of the multiple evaluating sources of risk factors weights. In order to reduce the inaccuracy of failure assessment, subjective weight of expert’s assessment and objective weights of system are taken into account. Focus is each experts of the FMEA team is respectively given different weights due to the different research fields of experts. The obtained comprehensive weight reflects multi-factors simultaneously and the relative closeness degree is more accurate. At the same time, the ranking of failure modes are closer to the actual situation. Finally, the feasibility and effectiveness of the proposed method is illustrated by the example of the metro door system.
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Zhang, W., Zhang, F. (2015). Failure Modes and Effects Analysis Using Multi-factors Comprehensive Weighted Fuzzy TOPSIS. In: Huang, Z., Sun, X., Luo, J., Wang, J. (eds) Cloud Computing and Security. ICCCS 2015. Lecture Notes in Computer Science(), vol 9483. Springer, Cham. https://doi.org/10.1007/978-3-319-27051-7_25
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DOI: https://doi.org/10.1007/978-3-319-27051-7_25
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