智能系统学报2018，Vol.13Issue(3)：422-430,9.DOI:10.11992/tis.201710012
基于NSGA-Ⅱ的扩展置信规则库激活规则多目标优化方法
NSGA-Ⅱ-based EBRB rules activation multi-objective optimization
摘要
Abstract
To address the low reasoning accuracy of extended belief rule-base (EBRB) systems with too many inconsistent activated rules,this paper introduces a fast elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) and proposes a rule activation multi-objective optimization approach based on the NSGA-Ⅱ algorithm.In this approach,binary coding is carried out for the activated rules whose activation weights are greater than zero.The inconsistent set of activated rules following synthetic reasoning and the sum of activation weights are taken as the objective function of the multi-objective optimization problem.Using the fast elitist non-dominated sorting genetic algorithm,the problem of a set of activation rules with a small inconsistency is solved,reducing the effect of the inconsistent activated rules on the reasoning accuracy of EBER systems.To validate the efficiency and feasibility of the proposed method,this paper introduces a nonlinear function and the proposed method was tested against the leak detection of an oil pipeline.The experimental results show that the rule activation multi-objective optimization approach based on NSGA-Ⅱ can effectively improve the reasoning performance of EBRB systems.关键词
扩展置信规则库/不一致性/激活规则/多目标优化/NSGA-Ⅱ算法Key words
extended belief rule base (EBRB)/inconsistency/activation rules/multi-objective optimization/NSGA-Ⅱ algorithm分类
信息技术与安全科学引用本文复制引用
林燕清,傅仰耿..基于NSGA-Ⅱ的扩展置信规则库激活规则多目标优化方法[J].智能系统学报,2018,13(3):422-430,9.基金项目
国家自然科学基金项目(71501047,61773123) （71501047,61773123）
福建省自然科学基金项目(2015J01248). （2015J01248）
