·430· 智能系统学报 第13卷 lief rule base representation,generation and its inference ive optimization:NSGA-II [C]//Proceedings of the 6th In- methodology[J].Knowledge-based systems,2013,53: ternational Conference Paris Parallel Problem Solving from 129-141 Nature PPSN VI.Kanpur,India,2000. [22]CALZADA A,LIU Jun,WANG Hui,et al.A new dynam- [28]苏群，杨隆浩，傅仰耿，等.基于BK树的扩展置信规则库 ic rule activation method for extended belief rule-based 结构优化框架[】.计算机科学与探索，2016,10(2)： systems[J].IEEE Transactions on knowledge and data en- 257-267. gineering,.2015,7(4):880-894. SU Qun,YANG Longhao,FU Yanggeng,et al.Structure [23]YANG Jianbo.Rule and utility based evidential reasoning optimization framework of extended belief rule base based approach for multiattribute decision analysis under uncer- on BK-tree[J].Journal of frontiers of computer science and tainties[J].European journal of operational research,2001, technology,2016,10(2):257-267. 1311:31-61. 作者简介： [24]WANG Yingming,YANG Jianbo,XU Dongling.Environ- 林燕清，女，1992年生，硕士研究 mental impact assessment using the evidential reasoning 生，主要研究方向为智能决策与专家 approach[J].European journal of operational research, 系统。 2006,1743:1885-1913. [25]WANG Yingming,YANG Jianbo,XU Dongling,et al. Consumer preference prediction by using a hybrid eviden- tial reasoning and belief rule-based methodology[].Ex- pert systems with applications,2009,36(4):8421-8430. 傅仰耿，男，1981年生，副教授， [26]ZITZLER E.Evolutionary algorithm for multi-objective 博土，CCF会员，CAAI会员，主要研 究方向为决策理论与方法、数据挖掘。 optimization:methods and applications[D].Zurich:Swiss 机器学习、智能系统。 Federal Institute of Technology,1999. [27]DEB K,AGRAWAL S,PRATAP A,et al.A fast elitist non-dominated sorting genetic algorithm for multi-object-lief rule base representation, generation and its inference methodology[J]. Knowledge-based systems, 2013, 53: 129–141. CALZADA A, LIU Jun, WANG Hui, et al. A new dynam￾ic rule activation method for extended belief rule-based systems[J]. IEEE Transactions on knowledge and data en￾gineering, 2015, 7(4): 880–894. [22] YANG Jianbo. Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncer￾tainties[J]. European journal of operational research, 2001, 131(1): 31–61. [23] WANG Yingming, YANG Jianbo, XU Dongling. Environ￾mental impact assessment using the evidential reasoning approach[J]. European journal of operational research, 2006, 174(3): 1885–1913. [24] WANG Yingming, YANG Jianbo, XU Dongling, et al. Consumer preference prediction by using a hybrid eviden￾tial reasoning and belief rule-based methodology[J]. Ex￾pert systems with applications, 2009, 36(4): 8421–8430. [25] ZITZLER E. Evolutionary algorithm for multi-objective optimization: methods and applications[D]. Zurich: Swiss Federal Institute of Technology, 1999. [26] DEB K, AGRAWAL S, PRATAP A, et al. A fast elitist non-dominated sorting genetic algorithm for multi-object- [27] ive optimization: NSGA-Ⅱ[C]//Proceedings of the 6th In￾ternational Conference Paris Parallel Problem Solving from Nature PPSN VI. Kanpur, India, 2000. 苏群, 杨隆浩, 傅仰耿, 等. 基于 BK 树的扩展置信规则库 结构优化框架[J]. 计算机科学与探索, 2016, 10(2): 257–267. SU Qun, YANG Longhao, FU Yanggeng, et al. Structure optimization framework of extended belief rule base based on BK-tree[J]. Journal of frontiers of computer science and technology, 2016, 10(2): 257–267. [28] 作者简介： 林燕清，女，1992 年生，硕士研究 生，主要研究方向为智能决策与专家 系统。 傅仰耿，男，1981 年生，副教授， 博士，CCF 会员，CAAI 会员，主要研 究方向为决策理论与方法、数据挖掘、 机器学习、智能系统。 ·430· 智 能 系 统 学 报 第 13 卷