File(s) under permanent embargo
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.
History
Journal
Fuzzy optimization and decision makingVolume
7Issue
3Pagination
283 - 302Publisher
Springer New YorkLocation
New York, N.Y.Publisher DOI
ISSN
1568-4539Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2008, SpringerUsage metrics
Keywords
Assessment modelsFailure mode and effect analysisMonotone output propertyOutput resolution propertyRisk priority numberScience & TechnologyTechnologyComputer Science, Artificial IntelligenceOperations Research & Management ScienceComputer ScienceFAILURE MODESYSTEMFMEAArtificial Intelligence and Image Processing
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC