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Self-tuning of fuzzy belief rule bases for engineering system safety analysis.
- Source :
- Annals of Operations Research; Nov2008, Vol. 163 Issue 1, p143-168, 26p, 1 Diagram, 7 Charts, 4 Graphs
- Publication Year :
- 2008
-
Abstract
- A framework for modelling the safety of an engineering system using a fuzzy rule-based evidential reasoning ( FURBER) approach has been recently proposed, where a fuzzy rule-base designed on the basis of a belief structure (called a belief rule base) forms a basis in the inference mechanism of FURBER. However, it is difficult to accurately determine the parameters of a fuzzy belief rule base (FBRB) entirely subjectively, in particular for complex systems. As such, there is a need to develop a supporting mechanism that can be used to train in a locally optimal way a FBRB initially built using expert knowledge. In this paper, the methods for self-tuning a FBRB for engineering system safety analysis are investigated on the basis of a previous study. The method consists of a number of single and multiple objective nonlinear optimization models. The above framework is applied to model the system safety of a marine engineering system and the case study is used to demonstrate how the methods can be implemented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02545330
- Volume :
- 163
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Annals of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 33461800
- Full Text :
- https://doi.org/10.1007/s10479-008-0327-0