·1188· 智能系统学报 第14卷 Information and control,2015,44(1):21-28,37 based systems[J].IEEE transactions on knowledge and [18]王应明，杨隆浩，常雷雷，等.置信规则库规则约简的粗 data engineering,2015,27(4):880-894. 糙集方法).控制与决策，2014,29(11少：1943-1950. [26]林燕清，傅仰耿.基于改进相似性度量的扩展置信规则 WANG Yingming,YANG Longhao,CHANG Leilei,et 库规则激活方法[.中国科学技术大学学报，2018， al.Rough set method for rule reduction in belief rule 48(1:20-27. base[J].Control and decision,2014,29(11):1943-1950. LIN Yanging,FU Yanggeng.A rule activation method for [19]LIU Jun,MARTINEZ L,CALZADA A,et al.A novel extended belief rule base based on improved similarity belief rule base representation,generation and its infer- measures[J].Journal of University of Science and Tech- ence methodology[J].Knowledge-based systems,2013, nology of China,2018,48(1):20-27. 53:129-141. [27]JIAO Lianmeng,PAN Quan,DENOEUX T,et al.Belief [20]YANG Longhao,WANG Yingming,FU Yanggeng.A rule-based classification system:extension of FRBCS in consistency analysis-based rule activation method for ex- belief functions framework[J].Information sciences, tended belief-rule-based systems[J].Information sciences, 2015,309:26-49 2018.445-446:50-65. [28]COVER T M.HART P E.Nearest neighbor pattern clas- [21]林燕清，傅仰耿.基于NSGA-Ⅱ的扩展置信规则库激活 sification[J].IEEE transactions on information theory, 规则多目标优化方法[仞.智能系统学报，2018,13(3)： 1967,13(121-27 422-430 作者简介： LIN Yanging,FU Yanggeng.NSGA-II-based EBRB rules 陈楠楠，男，1993年生，硕士研究 activation multi-objective optimization[J].CAAI transac- 生，主要研究方向为智能决策与专家 tions on intelligent systems,2018,13(3):422-430. 系统。 [22]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.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 巩晓婷，女，1982年生，讲师，主 based on BK-tree[J].Journal of frontiers of computer sci- 要研究方向为不确定多准则决策、信 ence and technology,2016,10(2):257-267 息隐藏技术。参与国家自然科学基金 项目3项、福建省自然科学基金项目 [23]YANG Longhao,WANG Yingming,SU Qun,et al. 2项和教育部高等学校博士学科点专 Multi-attribute search framework for optimizing exten- 项科研基金项目1项。发表学术论文 ded belief rule-based systems[J].Information sciences, 10余篇。 2016.370/371:159-183. [24]LIN Yanqing,FU Yanggeng,SU Qun,et al.A rule activ- 傅仰耿，男，1981年生，副教授， 博土，CCF会员，CAAI会员，主要研 ation method for extended belief rule base with VP-tree 究方向为决策理论与方法、数据挖掘 and MVP-tree[J].Journal of intelligent and fuzzy systems, 机器学习、智能系统。主持国家自然 2017,33(6:3695-3705. 科学基金项目1项、福建省自然科学 [25]CALZADA A,LIU Jun,WANG Hui,et al.A new dy- 基金项目2项。获国家发明专利授权 namic rule activation method for extended belief rule- 2项，发表学术论文30余篇。Information and control, 2015, 44(1): 21–28, 37. 王应明, 杨隆浩, 常雷雷, 等. 置信规则库规则约简的粗 糙集方法 [J]. 控制与决策, 2014, 29(11): 1943–1950. WANG Yingming, YANG Longhao, CHANG Leilei, et al. Rough set method for rule reduction in belief rule base[J]. Control and decision, 2014, 29(11): 1943–1950. [18] LIU Jun, MARTINEZ L, CALZADA A, et al. A novel belief rule base representation, generation and its infer￾ence methodology[J]. Knowledge-based systems, 2013, 53: 129–141. [19] YANG Longhao, WANG Yingming, FU Yanggeng. A consistency analysis-based rule activation method for ex￾tended belief-rule-based systems[J]. Information sciences, 2018, 445-446: 50–65. [20] 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. LIN Yanqing, FU Yanggeng. NSGA-II-based EBRB rules activation multi-objective optimization[J]. CAAI transac￾tions on intelligent systems, 2018, 13(3): 422–430. [21] 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 sci￾ence and technology, 2016, 10(2): 257–267. [22] YANG Longhao, WANG Yingming, SU Qun, et al. Multi-attribute search framework for optimizing exten￾ded belief rule-based systems[J]. Information sciences, 2016, 370/371: 159–183. [23] LIN Yanqing, FU Yanggeng, SU Qun, et al. A rule activ￾ation method for extended belief rule base with VP-tree and MVP-tree[J]. Journal of intelligent and fuzzy systems, 2017, 33(6): 3695–3705. [24] CALZADA A, LIU Jun, WANG Hui, et al. A new dy￾namic rule activation method for extended belief rule- [25] based systems[J]. IEEE transactions on knowledge and data engineering, 2015, 27(4): 880–894. 林燕清, 傅仰耿. 基于改进相似性度量的扩展置信规则 库规则激活方法 [J]. 中国科学技术大学学报, 2018, 48(1): 20–27. LIN Yanqing, FU Yanggeng. A rule activation method for extended belief rule base based on improved similarity measures[J]. Journal of University of Science and Tech￾nology of China, 2018, 48(1): 20–27. [26] JIAO Lianmeng, PAN Quan, DENOEUX T, et al. Belief rule-based classification system: extension of FRBCS in belief functions framework[J]. Information sciences, 2015, 309: 26–49. [27] COVER T M, HART P E. Nearest neighbor pattern clas￾sification[J]. IEEE transactions on information theory, 1967, 13(1): 21–27. [28] 作者简介： 陈楠楠，男，1993 年生，硕士研究 生，主要研究方向为智能决策与专家 系统。 巩晓婷，女，1982 年生，讲师，主 要研究方向为不确定多准则决策、信 息隐藏技术。参与国家自然科学基金 项目 3 项、福建省自然科学基金项目 2 项和教育部高等学校博士学科点专 项科研基金项目 1 项。发表学术论文 10 余篇。 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。主持国家自然 科学基金项目 1 项、福建省自然科学 基金项目 2 项。获国家发明专利授权 2 项，发表学术论文 3 0 余篇。 ·1188· 智 能 系 统 学 报 第 14 卷