On the use of fuzzy inference techniques in assessment models : part II : industrial applications
Tay, Kai Meng and Lim, Chee Ping 2008, On the use of fuzzy inference techniques in assessment models : part II : industrial applications, Fuzzy optimization and decision making, vol. 7, no. 3, pp. 283-302, doi: 10.1007/s10700-008-9037-y.
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Title
On the use of fuzzy inference techniques in assessment models : part II : industrial applications
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.
Language
eng
DOI
10.1007/s10700-008-9037-y
Field of Research
019999 Mathematical Sciences not elsewhere classified
Socio Economic Objective
970101 Expanding Knowledge in the Mathematical Sciences
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