徐伟华

个人简介

徐伟华,男,1979年5月生于山西浑源,西安交通大学博士、博士后,2011年破格晋升教授。2016年入选重庆市中青年骨干教师、2015年入选重庆市巴南区学术技术带头人、重庆理工大学“智能计算的数学基础”科研创新团队带头人、重庆理工大学首批青年英才计划人选、理学院副院长、硕士生导师;国际粗糙集学会高级会员、中国人工智能学会粗糙集与软计算专委会委员、重庆市数学会理事;国际期刊《Journalof Communications and Information Sciences》编委、国内期刊《数码设计》编委。已在《IEEETransactions on Cybernetics》、《Information Sciences》、《FuzzySets and Systems》、《Applied Soft Computing》、《Knowledge-BasedSystems》、《工程数学学报》、《模糊系统与数学》等国内外重要学术刊物上发表论文70余篇,其中SCI检索30余篇(次);科学出版社出版《序信息系统与粗糙集》、《基于包含度的粒计算方法与应用》、《形式概念分析理论与方法》学术著作3部;作为负责人先后主持2项国家自然科学基金、2项重庆市自然科学基金、2项重庆市教委科技项目,1项博士后科学基金、1项重庆理工大学重点基础项目;作为主要研究成员分别以第一、第二主研参与了3项国家自然科学基金项目、5项目省部级课题,已在信息科学、模糊数学、人工智能与粒计算以及应用数学相关研究领域有丰富的经验积累。

研究领域

人工智能的数学基础;粒计算;模糊数学;不确定性推理;预测与决策

承担的主要项目

[1]多源直觉模糊数据集知识发现的粒计算方法研究(61472463),国家自然科学基金面上项目,2015.1-2018.12,60万,主持。

[2]直觉模糊近似空间和形式背景中的知识获取研究(61105041),国家自然科学基金青年项目,2012.1-2014.12,22万,主持。

[3]多准则群决策分类方法及应用研究(71071124),国家自然科学基金面上项目,2011.1-2013.12,35万,参与。

[4]面向带偏好直觉模糊数据的粒计算与知识获取研究(61402064),国家自然科学基金青年项目,2015.1-2017.12,25万,参与。

[5]基于L1/2正则化的压缩传感可重构性理论研究(11001227),国家自然科学基金青年项目,2011.1-2013.12,19万,参与。

[6]模糊数据集中基于粒计算的双量化决策方法研究(cstc2015jcyjA1390),重庆市自然科学基金项目,2015.1-2018.6,5万,主持。

[7]直觉模糊环境下信息系统与形式背景中知识发现和规则提取的理论方法研究(cstc2011jjA40037),重庆市自然科学基金项目,2011.1-2014.6,5万,主持。

[8]基于粗糙集的直觉模糊知识获取方法研究(KJ120805),重庆市教委科技项目,2012.1-2013.12,2万,主持。

[9]优势关系下信息系统知识获取的方法研究(KJ090612),重庆市教委科技项目,2009.1-2010.12,2万,主持。

代表性成果

[1] 徐伟华,序信息系统与粗糙集,北京:科学出版社,2013.

[2] 徐伟华,米据生,吴伟志,基于包含度的粒计算方法与应用,北京:科学出版社,2015.

[3] 徐伟华,李金海,魏玲,张涛,形式概念分析理论与应用,北京:科学出版社,2016.

[4] XuWeihua, Li Wentao. Granular computing approach to two-way learning based onformal concept analysis in fuzzy datasets, IEEE Transactions on Cybernetics.2016, 46(2): 366-379.(SCI:待检)

[5] XuWeihua, Guo Yanting, Generalized multigranulation double-quantitativedecision-theoretic rough set, Knowledge-Based Systems, 105(1),2016: 190-205.(SCI:待检)

[6] XuWeihua, Jianhang Yu, A novel approach to information fusion in multi-sourcedatasets: A granular computing viewpoint, Information Sciences,doi:10.1016/j.ins.2016.04.009.(SCI:待检)

[7] YuJianhang, Xu Weihua*. Incremental knowledge discovering in interval-valueddecision information system with the dynamic data, International Journal ofMachine Learning and Cybernetics. Doi: 10.1007/s13042-015-0473-z(SCI:待检)

[8] BingjiaoFan, Eric C. C. Tsang, Weihua Xu, Jianhang Yu, Double-quantitative rough fuzzyset based decisions: A logical operations method, Information Sciences,doi:10.1016/j.ins.2016.05.035.(SCI:待检)

[9] XiaoyanZhang, Ling Wei, Weihua Xu. Attributes reduction and rules acquisition in anlattice-valued information system with fuzzy decision, International Journal ofMachine Learning and Cybernetics. Doi: 10.1007/s13042-015-0492-9(SCI:待检)

[10]胡猛,徐伟华*,序信息系统中基于“逻辑且”和“逻辑或”的双量化粗糙模糊集.计算机科学,2016, 43(1): 98-102.

[11]余建航,徐伟华*,序信息系统下基于精度与程度“逻辑与”和“逻辑或”的粗糙集,计算机科学.2016, 43(2): 269-272.

[12]李蒙蒙,徐伟华*,优势关系下变精度与程度“逻辑且”粗糙模糊集.计算机科学与探索.2016, 10(2): 277-284.

[13] 胡猛,郭艳婷,徐伟华*,优势关系下直觉模糊信息系统的变精度与程度“逻辑或”粗糙集.运筹与模糊,2016, 6(2): 66-77.

[14] YuJianhang, Xu Weihua*. Incremental computing approximations with the dynamicobject set in interval-valued ordered information system, FundamentaInformaticae,142(2015):373-397.(SCI待检)

[15] LiWentao, Xu Weihua*, Double-quantitative decision-theoretic rough set,Information Sciences, 316 (2015): 54–67.(SCI: VL1VI)

[16] LiWentao, Xu Weihua*, Multigranulation Decision-theoretic Rough Set in OrderedInformation System, Fundamenta Informaticae , 139 (2015): 67–89 .(SCI:CN8ZF)

[17] Xu Weihua, Li Wentao, Luo Shuqun,Knowledge reductions in generalized approximation space over two universesbased on evidence theory. Journal of Intelligent and Fuzzy Systems, 28 (2015)2471–2480 .(SCI: CN9GP)

[18] Li Jinhai. Mei Changlin. Xu Weihua. QianYuhua.Concept learning via granular computing: A cognitive view point. InformationSciences, 298(2015), 447–467.(SCI:CB4HY)

[19] Yu Jianhang, Xu Weihua*. Informationfusion in multi-source fuzzy information system with same structure,Proceedings of the 2015 International Conference on Machine Learning andCybernetics, Guangzhou, 12-15 July, 2015: 170-175.(EI待检)

[20] Yu Jianhang, Xu Weihua*.Multigranulation with different grades rough set in ordered information system,in: Proceeding of ICNC'15-FSKD'15, Zhangjiajie, 15-17 August, 2015, 937-942.(EI待检)

[21] 樊兵娇,徐伟华*,序信息系统中基于粗糙集的证据获取与合成.计算机科学,2015,42(6):54-56

[22] 余建航,徐伟华*,序信息系统下变精度与程度的“逻辑或”粗糙集.计算机科学与探索,2015, 9(1):112-118.

[23] 余建航,徐伟华*,序信息系统下变精度与程度的“逻辑与”粗糙集,模糊系统与数学,2015, 29(4): 146-152.

[24] Xu Weihua, Wang Qiaorong, Luo Shunqun,Multi-granulation fuzzy rough sets, Journal of Intelligent and Fuzzy Systems,26 (2014):1323-1340.(SCI: AA5KO)

[25] Fan Bingjiao, Xu Weihua*, and YuJianhang, Uncertainty Measures in Ordered Information System Based onApproximation Operators, Abstract and Applied Analysis, (2014), Article ID846205, 17 pages.(SCI: AE7VF)

[26] Luo Shuqun, Xu Weihua*, RoughAtanassov’s intuitionistic fuzzy sets model over two universes and itsapplications, The World Science Journal, (2014), Article ID 348683, 13pages.(SCI:AH7JU)

[27] Xu Weihua, Pang Jingzhong, Luo Shuqun, Anovel cognitive system model and approach to transformation of informationgranules, International Journal of Approximate Reasoning, 2014, 55(3): 853-866.(SCI:AC8TM)

[28] Xu Weihua, Liu Yufeng, Sun Wenxin,Uncertainty measure of intuitionistic fuzzy T equivalence information systems,Journal of Intelligent and Fuzzy Systems, 26 (2014): 1799–1811.(SCI: AC1HS)

[29] Li Wentao, Zhang Xiaoyan and Sun Wenxin.Further Study of Multigranulation T-Fuzzy Rough Sets, The Scientific WorldJournal, vol. 2014, Aritical ID 927014, 18 pages.(SCI: AC1HS)

[30] Li Wentao, Xu Weihua*. ProbabilisticRough Set Model Based on Dominance Relation, RSKT 2014, LNAI 8818, pp. 856-863,2014.(EI: 20144600190747)

[31] Li Wentao, Xu Weihua. On RoughMembership Degrees in Ordered Information Systems, International Journal ofComputer Science and Knowledge Engineering, 2014, 8(1): 11-19.

[32] 徐伟华,罗术群,孔莎莎,多源环境下学生综合素质的决策分析,模糊系统与数学,2014,28(1):178-183.

[33] Pang Jingzhong, Zhang Xiaoyan*, XuWeihua, Attribute Reduction in Intuitionistic Fuzzy Concept Lattices, Abstractand Applied Analysis, Volume 2013, Article ID 271398, 12 pages, 2013,doi:10.1155/2013/271398.(SCI: 246JI)

[34] Xu Weihua, Liu Shihu, Knowledgereduction in lattice-valued information systems with interval-valuedintuitionistic fuzzy decision, International Journal on Artificial IntelligenceTools. Vol. 22, No. 1 (2013) 1250030 (29 pages), DOI:10.1142/S0218213012500303.(SCI: 116RR)

[35] Xu Weihua, Liu Yufeng, Li Tongjun,Intuitionistic fuzzy ordered information system, International Journal ofUncertainty, Fuzziness and Knowledge-Based Systems, 2013, 21(3): 367-390.(SCI:167FV)

[36] Xu Weihua, Wang Qiaorong, ZhangXiantao,Multi-granulation rough sets based on tolerance relations,SoftComputing (2013) 17:1241-1252.(SCI: 159KA)

[37] Xu Weihua, Liu Shihu,ZhangWenxiu, Lattice-valued information systems based on dominance relation,International Journal of Machine Learning and Cybernetics, 2013,4(2): 245-257.(SCI:V36HS)

[38] Xu Weihua, Sun Wenxin, Liu Feng, Fuzzyrough set models over two universes, International Journal of Machine Learningand Cybernetics, 2013,4(6): 631-645.(SCI: V36HW)

[39] 徐伟华,张先韬,王巧荣,序信息系统中变精度粗糙集属性约简的Matlab实现,重庆理工大学学报(自然科学版),2013,27(1):107-115.

[40] Xu Weihua, Li Yuan,LiaoXiuwu, Approaches to attribute reductions based on rough set and matrixcomputation in inconsistent ordered information systems, Knowledge-BasedSystems, 27 (2012) 78–91.(SCI: 897KE)

[41] Xu Weihua, Sun Wenxin, Zhang Xiaoyan,and Zhang Wenxiu,Multiple granulation rough setapproach to ordered information systems, International Journal of GeneralSystems, 2012, 41(5):475-501.(SCI: 945JD)

[42] XiaoyanZhang,WeihuaXu, Ranking for Objects and Attribute Reductions in Intuitionistic FuzzyOrdered Information Systems, Mathematical Problems in Engineering, vol. 2012,Article ID 426901, 19 pages, 2012. doi:10.1155/2012/426901.(SCI:954MV )

[43] Xu Weihua, Zhang Xiantao, Wang Qiaorong,A Generalized Multi-granulation Rough Set Approach,LectureNotes in Bioinformatics,2012,1,(6840):681-689.(EI:20120314683984)

[44] Xu Weihua, Sun Wenxin, Liu Yufeng,Optimistic Multi-Granulation Fuzzy Rough Set Model Based on Triangular Norm,Lecture Notes in Artificial Intelligence, 2012, 8 (7414): 20-27.(EI:20123415353924)

[45] Xu Weihua, Liu Yufeng, SunWenxin, Upper Approximation Reduction Based on Intuitionistic Fuzzy TEquivalence Information Systems, Lecture Notes in Artificial Intelligence,2012,8(7414): 55-62.(EI:20123415353963)

[46] Xu Weihua, Liu Yufeng, SunWenxin, Intuitionistic fuzzy rough sets model based on$(Theta,Phi)$-operators,Proceedings of the 9th International Conference onFuzzy Systems and Knowledge Discovery, 2012,5: 240-244. (EI: 20130515971185)

[47] Xu Weihua, Sun Wenxin, Liu Yufeng,Optimistic multi-granulation fuzzy rough set model in ordered informationsystem, Preceedings of 2012 IEEE International Conference on GranularComputing, Hangzhou,2012, 666-671.(EI:20131216134160)

[48] Xu Weihua, Sun Wenxin, Liu Yufeng, ZhangWenxiu, Fuzzy rough set models over two universes,InternationalJournal of Machine Learning and Cybernetics, 2012, DOI10.1007/s13042-012-0129-1.

[49] Xu Weihua,Zhang Xiantao,Wang Qiaorong,Sun Shuai,On General Binary Relation Based Rough Set, Journal of Informationand Computing Science,2012,7(1):54-66.

[50] XuWeihua, Sun Wenxin, Wang Qiaorong, Liu Yufeng. Attribute reduction in toleranceinformation systems based on evidence theory, Annals of Fuzzy Mathematics andInformatics, 2012, 4(2), 267-279.

[51] Xiaoyan Zhang, Shihu Liu, and Weihua Xu,Rough Set Approach to Approximation Reduction in Ordered Decision Table withFuzzy Decision, Mathematical Problems in Engineering, vol. 2011, Article ID268929, 16 pages, 2011. doi:10.1155/2011/268929.(SCI: 866XL)

[52] Xu Weihua, Wang Qiaorong, Zhang Xiantao,Multi-granulation Fuzzy Rough Sets in a Fuzzy Tolerance Approximation Space,International Journal of Fuzzy Systems, 2011,13(4): 246-259.(SCI:881AU)

[53] Xu Weihua, Wang Qiaorong, Zhang Xiantao,Multi-granulation Fuzzy Rough Set Model on Tolerance Relations, FourthInternational Workshop on Advanced Computational Intelligence, Wuhan, Hubei,China, October 19-21, 2011, 359-366.(EI: 20121314901797)

[54] Xu Weihua, Liu Shihu,ZhangWenxiu. On Granularity in Information Systems Based on Binary Relation,Intelligent Information Management, 2011,3(3):75-86.

[55] Xu Weihua, Liu Yufeng, Sun Wenxin, OnStarshaped Intuitionistic Fuzzy Sets, Applied Mathematics, 2011, 2(8):1051-1058.

[56] 徐伟华,刘士虎,张文修.一般二元关系下信息系统知识的粒度描述.计算机工程与应用,2011,47(18):40-44.

[57] 徐伟华,孙文鑫,刘玉锋,星形模糊集的性质,运筹与模糊学,2011, 1, 6-10.

[58] 徐伟华,王巧荣,张先韬,不协调格值目标信息系统的近似约简,计算机工程,2011,37(23): 69-71.

[59] 徐伟华,张先韬,王巧荣,基于包含度的变精度模糊粗糙集,计算机科学,2011,38(9):230-233.

[60] 徐伟华,张先韬,王巧荣,基于等价关系逻辑“与”“或”的粗糙集,数据挖掘,2011,1(1):7-12.

[61] 徐伟华等,优势关系下分配约简矩阵算法的程序实现,重庆理工大学学报(自然科学)2011,25(4),117-122.

[62] Xu Weihua, Zhang Xiaoyan,ZhongJianmin, Zhang Wenxiu. Attribute reduction in ordered information systems basedon evidence theory, Knowledge and Information Systems,2010,25(1):169-184.(SCI: 685UG)

[63] Xu Weihua, Liu Shihu,ZhangWenxiu. The first type of graded rough set based on rough membership function,Proceedings of the 7th International Conference on Fuzzy Systems and KnowledgeDiscovery, 2010, 8: 1922-1926.(EI20104813422746)

[64] Zhang Xiaoyan, Xu Weihua, Zhang Wenxiu.A Novel Algorithm of Matrix Computation for Lower Approximation Reduction inIOIS, Proceedings of the 4th International Conference on Fuzzy Systems andKnowledge Discovery, 2010, 8: 1876-1880.(EI20104813422736)

[65] Xu Weihua, Liu Shihu,ZhangWenxiu. Upper approximation reduction in ordered information system with fuzzydecision, International Journal of Computer Science and Knowledge Engineering,2010, 2(4):111-114.

[66] 徐伟华,刘世虎,张文修.一般二元关系下基于粗糙隶属函数的程度粗糙集,重庆理工大学学报(自然科学),2010,24(10),101-108.

[67] 徐伟华,张晓燕,钟坚敏,张文修.序信息系统中属性约简的启发式算法,计算机工程,2010,36(17),69-71.

[68] Xu Weihua, Zhang Xiaoyan, Zhang Wenxiu.Knowledge granulation, knowledge entropy and knowledge uncertainty measureinordered information systems , Applied Soft Computing,9(2009):1244–1251.(SCI: 486CI)

[69] 徐伟华,张晓燕,张文修.基于优势关系下不协调目标信息系统的部分一致约简.模糊系统与数学,2009,23(6): 224-231.

[70] 徐伟华,张晓燕,张文修.优势关系下不协调目标信息系统的上近似约简.计算机工程,2009,35(18): 191-193.

[71] 徐伟华,张晓燕,张文修.优势关系下不协调目标信息系统的下近似约简.计算机工程与应用,2009,45(16): 66-68.

[72] 徐伟华,张晓燕.序信息系统中基于粗糙熵的不确定性度量.工程数学学报,2009,26(2):283-289.