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
Author(s) Tay, Kai Meng
Lim, Chee PingORCID iD for Lim, Chee Ping orcid.org/0000-0003-4191-9083
Journal name Fuzzy optimization and decision making
Volume number 7
Issue number 3
Start page 283
End page 302
Total pages 20
Publisher Springer New York
Place of publication New York, N.Y.
Publication date 2008-09
ISSN 1568-4539
Keyword(s) Assessment models
Failure mode and effect analysis
Monotone output property
Output resolution property
Risk priority number
Summary 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
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2008, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048788

Document type: Journal Article
Collection: Institute for Frontier Materials
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