An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis
The fuzzy inference system (FIS) is useful for developing an improved Risk Priority Number (RPN) model for risk evaluation in failure mode and effect analysis (FMEA). A general FIS_RPN model considers three risk factors, i.e., severity, occurrence, and detection, as the inputs and produces an FIS_RP...
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| Format: | E-Article |
| Published: |
IEEE
2015
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| Online Access: | http://ir.unimas.my/id/eprint/10455/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&tp=&arnumber=7287737 |
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| Institution: | Universiti Malaysia Sarawak |