On the use of fuzzy inference techniques in assessment models: part II: industrial applications

@article{Tay2008OnTU,
  title={On the use of fuzzy inference techniques in assessment models: part II: industrial applications},
  author={K. Tay and C. Lim},
  journal={Fuzzy Optimization and Decision Making},
  year={2008},
  volume={7},
  pages={283-302}
}
  • K. Tay, C. Lim
  • Published 2008
  • Computer Science
  • Fuzzy Optimization and Decision Making
In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, the effectiveness of the monotone output property in a single-input fuzzy assessment model is demonstrated with a proposed fuzzy occurrence model. Then, the usefulness of the two properties to a multi-input fuzzy assessment model, i.e., the Bowles fuzzy Risk Priority Number (RPN) model… Expand
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The Fuzzy Inference System (FIS) is a popular paradigm for undertaking assessment/measurement and decision problems. In practical applications, it is important to ensure the monotonicity propertyExpand
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  • 2009 International Conference of Soft Computing and Pattern Recognition
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  • K. Tay, C. Lim
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  • 2009
TLDR
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