TY  - JOUR
PY  - 2008//
TI  - Fuzzy Risk Graph Model for Determining Safety Integrity Level
JO  - International journal of quality, statistics, and reliability
A1  - Nait-Said, R.
A1  - Zidani, F.
A1  - Ouzraoui, N.
SP  - ID 263895
EP  - ID 263895
VL  - 2008
IS  - online
N2  - he risk graph is one of the most popular methods used to determine the safety integrity level for safety instrumented functions. However, conventional risk graph as described in the IEC 61508 standard is subjective and suffers from an interpretation problem of risk parameters. Thus, it can lead to inconsistent outcomes that may result in conservative SIL’s. To overcome this difficulty, a modified risk graph using fuzzy rule-based system is proposed. This novel version of risk graph uses fuzzy scales to assess risk parameters, and calibration may be made by varying risk parameter values. Furthermore, the outcomes which are numerical values of risk reduction factor (the inverse of the probability of failure on demand) can be compared directly with those given by quantitative and semiquantitative methods such as fault tree analysis (FTA), quantitative risk assessment (QRA), and layers of protection analysis (LOPA).  Copyright © 2008 R. Nait-Said et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.<p /> 
LA  - 
SN  - 1687-7144
UR  - http://dx.doi.org/10.1155/2008/263895
ID  - ref1
ER  -