智能信息处理山西省重点实验室

个人简介

钱宇华，男，1976年4月生，山西大学计算智能与中文信息处理教育部重点实验室教授、博士生导师，山西大学计算机与信息技术学院副院长，从事计算智能、数据挖掘与知识发现方面的科研教学工作。于2008年获得教育部宝钢教育基金特等奖，2011年获得CCF优秀博士论文奖，2011年获得山西省“五四青年奖章”，2012年入选教育部新世纪优秀人才支持计划等。

近年来，主持国家自然科学基金优秀青年项目1项，主持并完成了国家青年科学基金项目2项, 山西省自然科学基金1项，参与国家自然科学基金重点基金2项、国家973计划前期研究专项项目1项、2项国家863计划项目和2项国家自然科学基金项目。近五年来，先后在《Artificial Intelligence》、《International Journal of Approximate Reasoning》、《IEEE Transactions on Knowledge and Data Engineering》、《IEEE Transactions on Fuzzy Systems》、《Pattern Recognition》、《IEEE Transactions on Systems, Man and Cybernetics》、《Data & Knowledge Engineering》、《中国科学》、《计算机学报》等国际国内重要学术刊物和国际会议发表学术论文70余篇，其中SCI收录40余篇，获发明专利2项，软件著作权登记1项。

研究方向：粗糙集与粒计算，智能决策，生物信息学、数据挖掘与机器学习、智能信息处理

主持或参与项目

1.新世纪优秀人才支持计划项目，主持人（2013.1-2015.12）;

2.国家自然科学基金项目(No. 60903110): 多粒度空间的通讯、转换及其问题求解机制研究, 2010.01－2012.12, (主持人);

3.山西省回国留学人员科研项目(No. 201008): 信息系统中知识获取的粒度分析理论与方法研究, 2010.01-2012.12, (主持人);

4.山西省青年科学基金(No. 200801080006): 决策信息系统中的粒度分析理论与算法研究, 2009.01-2011.12, (主持人);

5.973计划前期研究专项(No.2011CB11805): 基于认知机理的高维复杂数据建模理论与方法, 2011.01-2012.12, (第三参与人);

6.国家自然科学基金项目(No. 71031006): 高维复杂数据分析理论及其在投资决策中的应用, 2011.01－2014.12, (第六参与人);

7.国家自然科学基金项目(No. 60573074)：知识粗糙性度量与粗糙集数据分析方法研究, 2006.01－2008.12, (第三参与人);

8.高等学校博士学科点专项科研基金(No.200801080006): 信息系统框架下混合数据的粒度分析理论与算法研究, 2009.01-2011.12, (第二参与人) 。

发表论文

[1]	Yuhua Qian,Honghong Cheng, Jieting Wang,Jiye Liang,Witold Pedrycz,Chuangyin Dang. Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-383:150–169.
[2]	Yuhua Qian,Xinyan Liang,Guoping Lin,Qian Guo,Jiye Liang. Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82:119-137.
[3]	Yuhua Qian,Yebin Li,Min Zhang,Guoshuai Ma,Furong Lu. Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, 10.1038/srep45380.
[4]	Feijiang Li,Yuhua Qian,Jieting Wang,Jiye Liang. Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method, Information Sciences, 2017, 378:389–409.
[5]	Hang Xu,Wenjian Wang,Yuhua Qian. Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10):2223-2235.
[6]	Xiaoqiang Guan,Jiye Liang,Yuhua Qian,Jifang Pang. A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138:208–219.
[7]	Jie Wang,Wenping Zheng,Yuhua Qian,Jiye Liang. A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22:2179.
[8]	Yuhua Qian,Feijiang Li,Jiye Liang,Bing Liu,Chuangyin Dang. Space structure and clustering of categorical data, IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(10):2047-2059.
[9]	梁吉业,钱宇华,李德玉,胡清华. 面向大数据的粒计算理论与方法研究进展, 大数据, 2016, 4:13-23.
[10]	Yanli Sang,Jiye Liang,Yuhua Qian. Decision-theoreticroughsetsunderdynamicgranulation, Knowledge-Based Systems, 2016, 91:84-92.
[11]	GuopingLin,Jiye Liang,Yuhua Qian,JinjinLi. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91:102-113.
[12]	Yinfeng Meng,Jiye Liang,Yuhua Qian. Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97:224–236.
[13]	Zhiqiang Wang,Jiye Liang,Ru Li,Yuhua Qian. An approach to cold-start link prediction:establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2857- 2870.
[14]	Yuhua Qian,Qi Wang,Honghong Cheng,Jiye Liang,Chuangyin Dang. Fuzzy-rough feature selection accelerator, Fuzzy Sets and Systems, 2015, 258:61–78.
[15]	Yuhua Qian,Hang Xu,Jiye Liang,Bing Liu,Jieting Wang. Fusing monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2015, 27(10):2717-2728.
[16]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Fuzzy granular structure distance, IEEE Transactions on Fuzzy Systems, 2015, 23(6):2245-2259.
[17]	梁吉业,钱宇华,李德玉,胡清华. 大数据挖掘的粒计算理论与方法, 中国科学(E辑:信息科学), 2015, 45(11):1355-1369.
[18]	Guoping Lin,Jiye Liang,Yuhua Qian. An information fusion approach by combining multigranulation rough sets and evidence theory, Information Sciences, 2015, 314:184–199.
[19]	Baoli Wang,Jiye Liang,Yuhua Qian,Chuangyin Dang. A normalized numerical scaling method for the unbalanced multi-granular linguistic sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015, 23(2):221-243.
[20]	Guoping Lin,Jiye Liang,Yuhua Qian. Uncertainty measures for multigranulation approximation space, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015, 23(3):443–457.

[21]	张虎,谭红叶,钱宇华,李茹,陈千. 基于集成学习的中文文本欺骗检测研究, 计算机研究与发展, 2015, 52(5):1005-1013.
[22]	Yuhua Qian,Hu Zhang,Feijiang Li,Qinghua Hu,Jiye Liang. Set-Based Granular Computing: a Lattice Model, International Journal of Approximate Reasoning, 2014, 55(3):834–852.
[23]	Yuhua Qian,Shunyong Li,Jiye Liang,Zhongzhi Shi,Feng Wang. Pessimistic rough set based decisions: A multigranulation fusion strategy, Information Sciences, 2014, 264:196–210.
[24]	Yuhua Qian,Hu Zhang,Yanli Sang,Jiye Liang. Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014, 55:225-237.
[25]	Xin Liu,Yuhua Qian,Jiye Liang. A rule-extraction framework under multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5(2):319-326.
[26]	Baoli Wang,Jiye Liang,Yuhua Qian. Preorder information based attributes weights learning in multi-attribute decision making, Fundamenta Informaticae, 2014, 132:331-347.
[27]	Guoping Lin,Jiye Liang,Yuhua Qian. Topological approach to multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5(2):233-243.
[28]	Jiye Liang,Feng Wang,Chuangyin Dang,Yuhua Qian. A group incremental approach to feature selection applying rough set technique, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):294 - 308.
[29]	Xibei Yang,Yuhua Qian,Jingyu Yang. On characterizing hierarchies of granulation structures, Fundamenta Informaticae, 2013, in press.
[30]	Wei Wei,Jiye Liang,Yuhua Qian,Chuangyin Dang. Can fuzzy entropies be effective measures for evaluating the roughness of a rough set, Information Sciences, 2013, 232:143-166.
[31]	Guoping Lin,Jiye Liang,Yuhua Qian. Multigranulation rough sets: from partition to covering, Information Sciences, 2013, 241:101-118.
[32]	Feng Wang,Jiye Liang,Yuhua Qian. Attribute reduction: A dimension incremental strategy, Knowledge-Based Systems, 2013, 39:95-108.
[33]	Wei Wei,Jiye Liang,Junhong Wang,Yuhua Qian. Decision-relative discernibility matrixes in the sense of entropies, International Journal of General Systems, 2013, 42(7):721-738.
[34]	Yuhua Qian,Jiye Liang,Peng Song,Chuangyin Dang,Wei Wei. Evaluation of the decision performance of the decision rule set from an ordered decision table, Knowledge-Based Systems, 2012, 36:39–50.
[35]	Yuhua Qian,Jiye Liang,Weizhi Wu,Chuangyin Dang. Partial orderings of information granulations: a further investigation, Expert Systems, 2012, 29(1):3-24.
[36]	Yuhua Qian,Jiye Liang,Wei Wei. Consistency-preserving attribute reduction in fuzzy rough set framework, International Journal of Machine Learning and Cybernetics, 2012, 2012:45-53.
[37]	Xibei Yang,Yuhua Qian,Jingyu Yang. Hierarchical structures on multigranulation spaces, Journal of Computer Science and Technology, 2012, 27(6):1169-1183.
[38]	Guoping Lin,Yuhua Qian,Jinjin Li. NMGRS: Neighborhood-based multigranulation rough sets, International Journal of Approximate Reasoning, 2012, 53:1080-1093.
[39]	桑妍丽,钱宇华. 一种悲观多粒度粗糙集中的粒度约简算法, 模式识别与人工智能, 2012, 25(3):361-366.
[40]	Jiye Liang,Ru Li,Yuhua Qian. Distance: a more comprehensible perspective for measures in rough set theory, Knowledge-Based Systems, 2012, 27:126-136.

[41]	Peng Song,Jiye Liang,Yuhua Qian. A two-grade approach to ranking interval data, Knowledge-Based Systems, 2012, 27:234-244.
[42]	Wei Wei,Jiye Liang,Yuhua Qian. A comparative study of rough sets for hybrid data, Information Sciences, 2012, 190(5):1-16.
[43]	Baoli Wang,Jiye Liang,Yuhua Qian. Information granularity and granular structure in decision making, RSKT, 2012, :440-449.
[44]	Jiye Liang,Feng Wang,Chuangyin Dang,Yuhua Qian. An efficient rough feature selection algorithm with a multi-granulation view, International Journal of Approximate Reasoning, 2012, 53:912-926.
[45]	Yuhua Qian,Jiye Liang,Weizhi Wu,Chuangyin Dang. Information granularity in fuzzy binary GrC model, IEEE Transactions on Fuzzy Systems, 2011, 19(2):253–264.
[46]	Yuhua Qian,Jiye Liang,Witold Pedrycz,Chuangyin Dang. An efficient accelerator for attribute reduction from incomplete data in rough set framework, Pattern Recognition, 2011, 44(8):1658–1670.
[47]	钱宇华,梁吉业,王锋. 面向非完备决策表的正向近似特征选择加速算法, 计算机学报, 2011, 34(3):435-442.
[48]	Yuhua Qian,Jiye Liang,Yiyu Yao,Chuangyin Dang. MGRS: a mulit-granulation rough set, Information Sciences, 2010, 180:949-970.
[49]	Yuhua Qian,Jiye Liang,Deyu Li,Feng Wang,Nannan Ma. Approximation reduction in inconsistent incomplete decision tables, Knowledge-Based Systems, 2010, 23(5):427-433.
[50]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Incomplete multigranulation rough set, IEEE Transactions on Systems, Man, and Cybernetics Part A, 2010, 40(2):420-431.
[51]	Yuhua Qian,Jiye Liang,Witold Pedrycz,Chuangyin Dang. Positive approximation: an accelerator for attribute reduction in rough set theory, Artificial Intelligence, 2010, 174:597-618.
[52]	Yuhua Qian,Jiye Liang,Peng Song,Chuangyin Dang. On dominance relations in disjunctive set-valued ordered information systems, International Journal of Information Technology & Decision Making, 2010, 9(1):9-33.
[53]	Hongxing Chen,Yuhua Qian,Jiye Liang,Wei Wei. On partial order relations in granular computing, GRC, 2010, 2010:102-106.
[54]	Wei Wei,Jiye Liang,Yuhua Qian,Feng Wang,Chuangyin Dang. Comparative study of decision performance of decision tables induced by attribute reductions, International Journal of General Systems, 2010, 39(8):813-838.
[55]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Knowledge structure, knowledge granulation and knowledge distance in a knowledge base, International Journal of Approximate Reasoning, 2009, 50:174-188.
[56]	Yuhua Qian,Chuangyin Dang,Jiye Liang,Dawei Tang. Set-valued ordered information systems, Information Sciences, 2009, 179:2809-2832.
[57]	Yuhua Qian,Jiye Liang,Wei Wei. A new method for measuring the uncertainty in incomplete information systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009, 17(6):855-880.
[58]	Hongxing Chen,Yuhua Qian,Jiye Liang,Wei Wei,Feng Wang. A time-reduction stratejy to feature selection in rough set theory,, Lecture Notes in Computer Science, 2009, 2009:111-119.
[59]	Jiye Liang,Junhong Wang,Yuhua Qian. A new measure of uncertainty based on knowledge granulation for rough sets, Information Sciences, 2009, 17(9):458-470.
[60]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Converse approximation and rule extracting from decision tables in rough set theory, Computers and Mathematics with Applications, 2008, 55:1754-1765.

[61]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Consistency measure, inclusion degree and fuzzy measure in decision tables, Fuzzy Sets and Systems, 2008, 159:2353-2377.
[62]	Yuhua Qian,Jiye Liang,Chuangyin Dang. Interval ordered information systems, Computers and Mathematics with Applications, 2008, 56:1994-2009.
[63]	Yuhua Qian,Jiye Liang,Deyu Li,Haiyun Zhang,Chuangyin Dang. Measures for evaluating the decision performance of a decision table in rough set theory., Information Sciences, 2008, 178(1):181-202.
[64]	Yuhua Qian,Chuangyin Dang,Jiye Liang,Haiyun Zhang,Jianmin Ma. On the evaluation of the decision performance of an incomplete decision table, Data & Knowledge Engineering, 2008, 65(3):373-400.
[65]	Yuhua Qian,Jiye Liang. Positive approximation and rule extracting in incomplete information systems, International Journal of Computer Science and Knowledge Engineering, 2008, 2(1):51-63.
[66]	Jiye Liang,Yuhua Qian. Information granules and entropy theory in information systems, Science in China, Series F: Information Sciences, 2008, 51(10):1427-1444.
[67]	梁吉业,钱宇华. 信息系统中的信息粒与熵理论, 中国科学(E辑:信息科学), 2008, 38(12):2048-2065.
[68]	Junhong Wang,Jiye Liang,Yuhua Qian,Chuangyin Dang. Uncertainty measure of rough sets based on a knowledge granulation of incomplete information systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008, 16(2):233-244.
[69]	Jiye Liang,Baoli Wang,Yuhua Qian,Deyu Li. An algorithm of constructing maximal consistent block, International Journal of Computer Science and Knowledge Engineering, 2008, 2(1):11-18.
[70]	梁吉业,魏巍,钱宇华. 一种基于条件熵的增量核求解方法, 系统工程理论与实践, 2008, 4:81-89.
[71]	Yuhua Qian,Chuangyin Dang,Jiye Liang,Feng Wang,Wei Xu. Knowledge distance in information systems, Journal of System Science and System Engineering, 2007, 16(4):434-449.

科研队伍

钱宇华