OPTIMIZATION OF FUZZY RULES BY MUILTI-OBJECTIVE GENETIC ALGORITHM IN AVIONIC FAULT DIAGNOSIS SYSTEM
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, IMOGAII, 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.
Avionic fault diagnosis Fuzzy rule Multiple objective genetic algorithm MOGAII Plain aggregation approach
Zhang Jing Gao Qiang Huang ZhiGang Huang ZhaoTing
Electronics and Information Engineering,Beihang University Beijing 100191,China Administration Centre of Digital Film Content,the Slate of Administration of Radio Film and Televisi
国际会议
上海
英文
433-437
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）