On the use of fuzzy inference techniques in assessment models : part II : industrial applications
Data(s) |
01/09/2008
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Resumo |
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, is assessed. The experimental results indicate that both the fuzzy occurrence model and Bowles fuzzy RPN model are able to fulfill the monotone output property, with the derived conditions (in Part I) satisfied. In addition, the proposed rule refinement technique is able to improve the output resolution property of the Bowles fuzzy RPN model. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer New York |
Relação |
http://dro.deakin.edu.au/eserv/DU:30048788/lim-ontheuse2-2008.pdf http://dx.doi.org/10.1007/s10700-008-9037-y |
Direitos |
2008, Springer |
Palavras-Chave | #Assessment models #Failure mode and effect analysis #Monotone output property #Output resolution property #Risk priority number |
Tipo |
Journal Article |