TY - GEN
T1 - Optimization of fuzzy rules by muilti-objective genetic algorithm in avionic fault diagnosis system
AU - Zhang, Jing
AU - Gao, Qiang
AU - Huang, Zhi Gang
AU - Huang, Zhaoting
PY - 2009
Y1 - 2009
N2 - The fuzzy rule sets, which have been widely used in avionic fault diagnosis system, have considerable redundancy that leads to time-consuming faults location process. In this paper, to reduce the redundant rules, a Multiple Objective Genetic Algorithm, MOGAII, is used to optimize a fuzzy rule set. The optimization problem with two objectives, the maximization diagnostic capability of the system and the minimization number of rules, is formulated. The simulation results show that MOGAII can substantially improve the efficiency of avionics fault diagnosis system comparing with the plain aggregation algorithm, a conventional optimization method of fuzzy rule sets.
AB - The fuzzy rule sets, which have been widely used in avionic fault diagnosis system, have considerable redundancy that leads to time-consuming faults location process. In this paper, to reduce the redundant rules, a Multiple Objective Genetic Algorithm, MOGAII, is used to optimize a fuzzy rule set. The optimization problem with two objectives, the maximization diagnostic capability of the system and the minimization number of rules, is formulated. The simulation results show that MOGAII can substantially improve the efficiency of avionics fault diagnosis system comparing with the plain aggregation algorithm, a conventional optimization method of fuzzy rule sets.
KW - Avionic fault diagnosis
KW - Fuzzy rule
KW - MOGAII
KW - Multiple objective genetic algorithm
KW - Plain aggregation approach
UR - https://www.scopus.com/pages/publications/77949592932
U2 - 10.1109/ICICISYS.2009.5357809
DO - 10.1109/ICICISYS.2009.5357809
M3 - 会议稿件
AN - SCOPUS:77949592932
SN - 9781424447541
T3 - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
SP - 433
EP - 437
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -