[1]王国胤,张清华,胡? 军.粒计算研究综述[J].智能系统学报,2007,2(6):8-26.
 WANG Guo-yin,ZHANG Qing-hua,HU Jun.An overview of granular computing[J].CAAI Transactions on Intelligent Systems,2007,2(6):8-26.
点击复制

粒计算研究综述

参考文献/References:
[1]ZADEH L A. Fuzzy sets and information granulation.adva nces in fuzzy set theory and applications[M].Amsterdam: NorthHolland Publish ing, 1979.
[2]HOBBS J R. Granularity[A]. Proceedings of the Ninth International Joint Conference on Artificial Intelligence[C].Los Angeles, CA, 1985.[3]LIN T Y. Neighborhood systems and relational database[A].Proceedings of CSC’88[C].New York,1988.
[4]LIN T Y. Granular computing on binary relations I:data mining and neighb orhood systems, II: rough set representations and belief functions, rough sets i n knowledge discovery[M].PhysicaVerlag,1998:107-140.
[5]LIN T Y. Data mining: granular computing approach methodologies for knowl edge discovery and data mining[A].Proceedings of PAKDD’99[C].[S.l.],1999 . 
[6]LIN T Y. Granular computing: fuzzy logic and rough sets. Computing with Wo rds in Information/Intelligent Systems[M].PhysicaVerlag, 1999.
[7]LIN T Y. Data mining and machine oriented modeling:a granular computing a pproach[J]. Journal of Applied Intelligence, 2000,13(2):113-124.
[8]LIN T Y. Granular computing: structures, representations, applications an d future directions[A].The Proceedings of 9th International Conference, RSF DGrC 2003[C].[S.l.],2003.
[9]LIN T Y. Granular computing rough set perspective[J]. T he Newsletter of the IEEE Computational Intelligence Society, 2005,2 (4):1543-42 81.
[10]LIN T Y. Granular computing: a problem solving paradigm[A]. The Proceedings of the 2005 IEEE International Conference on Fuzzy Systems[C]. [S.l],2005.
[11]张 钹,张 铃. 问题求解理论及应用[M]. 北京:清华大学出版社,1990.
[12]ZHANG B,ZHANG L. Theory and applications of problem solving[M]. Amsterdam:NorthHolland Publishing,1992. 
[13]ZADEH L A. Towards a theory of fuzzy information granulation and its centr ality in human reasoning and fuzzy logic[J]. Fuzzy Sets and Systems, 1997,19:1 11-127.
[14]YAO Y Y. Relational interpretations of neighborhood operators and rough s et approximation operators[J]. Information Sciences, 1998, 111:239-259.
[15]YAO Y Y. Rough sets, neighborhood systems, and granular computing[A]. P roce edings of the 1999 IEEE Canadian Conference on Electrical and Computer Engineeri ng[C].[S.l.],1999.
?[16]YAO Y Y.Granular computing using neighborhood systems, advances in soft computing: engineering design and manufacturing[A]. The 3rd Online WorldCon ference on Soft Computing (WSC3)[C].London, 1999.
[17]YAO Y Y. A partition model of granular computing[J].LNCS Transactions on Rough Sets, 2004(1):232-253.
[18]YAO Y Y.Stratified rough sets and granular computing[A]. Proceedings of the 18th International Conference of the North American Fuzzy Information Proce ssing Society[C].New York ,1999.
[19]YAO Y Y. Information granulation and rough set approximation[J]. Intern ational Journal of Intelligent Systems, 2001,16(1): 87-104.
[20]YAO Y Y.Granular computing for data mining[A].Proceedings of SPIE Confe renc e on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security[C]. Kissimmee, USA,2006.
[21]CHEN Y H, YAO Y Y. Multiview intelligent data analysis based on granular computing[A].Proceedings of 2006 IEEE International Conference on Granular Com puting[C].[S.l.],2006.
[22]YAO Y Y.Three perspectives of granular computing[J].Journal of Nanchang I nstitute of Technology, 2006, 25(2): 16-21. 
[23]SKOWRON A. Toward intelligent systems: calculi of information granules[J ].Bulletin of International Rough Set Society, 2001(5):9-30.
[24]SKOWRON A, STEPANIUK J. Towards discovery of information granules[A].Pr oceedings of PKDD’99[C].[S.l.],1999.
[25]SKOWRON A,STEPANIUK J. Information granules: towards foundations of granu l ar computing[J].International Journal of Intelligent Systems, 2001,16: 57-85.
[26]POLKOWSKI L, SKOWRON A. Towards adaptive calculus of granules[A].Procee dings of 1998 IEEE International Conference on Fuzzy Systems[C].[S.l.],1998 .
[27]POLKOWSKI L,SKOWRON A. Rough sets in knowledge discovery[M]. Heidelberg :PhysicaVerlag, 1998.
[28]刘 清,黄兆华. G逻辑及其归结推理[J].计算机学报,2004,27(7):865-8 72.
?LIU Qing, HUANG Zhaohua. Glogic and its resolution reasoning[J].Chinese Jour nal of Computers, 2004,27(7):865- 872.
[29]刘 清,刘 群.粒及粒计算在逻辑推理中的应用[J].计算机研究与发展, 2004,41(4):546-551.
?LIU Qing, LIU Qun. Granules and appplications of granular computing in logical r e asoning[J].Journal of Computer Research and Development, 2004,41(4):546-551.
[30]刘 清. Rough集及Rough推理[M].北京:科学出版社,2001.
[31]刘仁金,黄贤武. 图像分割的商空间粒度原理[J].计算机学报, 2005,28(10 ):1680-1685.
?LIU Renjin, HUANG Xianwu. The granular theorem of quotient space in image segmen tation[J].Chinese Journal of Computers, 2005,28(10):1680-1685.
[32]王国胤.Rough集理论在不完备信息系统中的扩充[J]. 计算机研究与发展, 2002(10):11-15.
WANG Guoyin. Extension of rough set under incomplete information systems[J]. Journal of Computer Research and Development,2002(10):11-15.
[33]伞 冶,叶玉玲.粗糙集理论机器在智能系统中的应用[J].智能系统学报, 2007,2(4):40-47.
 SAN Ye,YE Yuling.Rough sets theory and its application in the intelligent syste ms[J].CAAI Transactions on Intelligent Systems,2007,2(4):40-47.
[34】ZHANG L,ZHANG B. A quotient space approximation model of multires olution signal analysis[J].J Comput Sci & Technol, 2005,20(1):90-94.
[35]张 铃,张 钹. 模糊商空间理论(模糊粒度计算方法)[J].软件学报, 20 03,14(4):770-776.
?ZHANG Ling, ZHANG Bo. Theory of fuzzy quotient space (methods of fuzzy granular computing) [J]. Journal of Software, 2003,14(4):770-776.
[36]苗夺谦,范世栋. 知识的粒度计算及其应用[J].系统工程理论与实践, 2002 ,22(1):48-56.
?MIAO Duoqian, FAN Shidong. The calculation of knowledge granulation and its appl ication[J]. Systems EngineeringTheory & Practice, 2002 ,22(1):48-56.
[37]王飞跃. 词计算和语言动力学系统的计算理论框架[J]. 模式识别与人工智能, 2001,14(4): 377-384.
?WANG Feiyue. Computing with words and a framework for computational linguistic d ynamic systems[J]. Pattern Recognition and Artificial Intelligence, 2001,14(4) : 377-384.
[38]WANG G Y, HU F,HUANG H, et al.A granular computing model based on tolerance relation[J]. The Journal of China Universities of Posts and Telecomm unications, 2005, 12(3): 86-90.
?[39]胡 峰, 黄 海, 王国胤, 等. 不完备信息系统的粒计算方法[J].小型微型计算机系统, 2005,26(8):1335-1339.

HU Feng, HUANG Hai, WANG Guoyin, et al. Granular computing in incomplete inform ation systems[J].Minimicro Systems, 2005,26(8):1335-1339.
[40]邓 蔚, 王国胤, 吴 渝. 粒计算综述[J]. 计算机科学,2004, 31 (10):178-181.
DENG Wei,WANG Guoyin,WU Yu. A survey of granular computing[J].Computer Science , 2004, 31(10): 178-181. 
[41]邓 蔚,王国胤,吴 渝. 粒计算对进化计算的一个改进[J].计算机科学,2 004,31( 10):209-211.
DENG Wei,WANG Guoyin,WU Yu.An improved algorithm of evolutionary computation based on granular computing[J].Computer Science, 2004, 31(10): 209-211.
[42]安久江,甘 全,王国胤,等.一种基于粒计算的规则知识获取算法[J].计算机科学, 2005,32(8): 137-140.
AN Jiujiang,GAN Quan,WANG Guoyin, et al. An Algorithm for Rule and Knowledge A cquisition Based on Granular computing, Computer Science, 2005, 32(8A): 137-140. 
[43]邓 蔚,王国胤,吴 渝. 基于近似分割的粒计算规则获取算法[A].中国人工智能学会第11届学术年会论文集[C].武汉,2005.
DENG Wei,WANG Guoyin,WU Yu.A rule acquisition algorithm of granular computing ba sed on approximate partition[A]. Proceedings of 2005 National Conference on Ar tificial Intelligence[C]. Wuhan, 2005.
[44]AN J J,WANG G Y, WU Y, et al.A rule generation algorithm based on granula r computing[A].2005 IEEE International Conference on Granular Computing[C]. Beijing,2005.
[45]ZHENG Z,HU H,SHI Z Z. Granulation based image texture recognition[J].Le cture Notes in Computer Science, 2004,3066:659-664.
[46]ZHENG Z,HU H,SHI Z Z. Tolerance relation based information granular spac e[J]. Lecture Notes in Computer Science, 2005, 3641:682-691.
[47]ZHENG Z,HU H,SHI Z Z. Tolerance granular space and its applications[A] . IEEE International Conference on Granular Computing[C].Beijing,2005.
[48]卜东波,白 硕,李国杰.聚类/分类中的粒度原理[J].计算机学报,2002, 25 (8):810-816.
?BU Dongbo, BAI Shuo, LI Guojie. Principle of granularity in clustering and class ification[J]. Chinese Journal of Computers, 2002,25(8):810-816.
[49]ZHANG Y Q,FRASER M D,GAGLIANO R A. Granular neural networks for nu m ericallinguistic data fusion and knowledge discovery[J]. IEEE Transactions o n Neural Networks, 2000(11):658-667.
[50]ZHANG Y Q. Constructive granular systems with universal approximation and fast knowledge discovery[J].IEEE Trans on Fuzzy Systems, 2005, 13( 1): 48-57 .
?[51]李道国,苗夺谦,杜伟林.粒度计算在人工神经网络中的应用[J]. 同济大学学报(自然科学版), 2006,34(7):960- 964.
?LI Daoguo, MIAO Duoqian, DU Weilin. Application of granular computing to artific ial neural network[J]. Journal of Tongji University(Natural Science), 2006,34( 7):960-964.
[52]齐 红. 基于形式概念分析的知识发现方法研究[D].吉林:吉林大学, 2005 .
QI Hong. Knowledge discovery methods research based on formal concept analysis[ D].Jinlin: Jinlin University, 2005.
[53]杜伟林,苗夺谦,李道国,等.概念格与粒度划分的相关性分析[J].计算机科学, 2005, 32(1):182-187.
?DU Weilin, MIAO Duoqian, LI Daoguo, et al. Analysis on relationship between conc ept lattice and granular partition lattice[J]. Computer Science, 2005, 32(1):1 8 2-187.
[54]YAGER R R. Some learning paradigms for granular computing[A].200 6 IEEE International Conference on Grc[C].Atlanta, USA, 2006. 
[55]LIN T Y. Granular computing 2: infrastructures for AIengineering[A].20 06 IEEE International Conference on Grc[C]. Atlanta, USA, 2006.
[56]BARGIELA A, PEDRYCZ W.The roots of granular computing[A]. Proccedings o f th e 2006 IEEE International Conference on Granular Computing (GrC’06)[C]. Atla nta, USA, 2006. 
[57]YAGER R R, FILEV D. Operations for granular computing: mixing words and n umbers[A]. IEEE International Conference on Fuzzy Systems[C].[S.l.],1998. 
[58]陈万里.基于商空间理论和粗糙集理论的粒计算模型研究[D].安徽: 安徽大学,2005.
CHEN Wanli. Research on models of granular computing based on quotient space the ory and rough set theory[D].Anhui: Anhui University,2005.
[59]郑 征.相容粒度空间模型及其应用研究[D].北京: 中国科学院研究生院, 2006.
?ZHENG Zheng. Tolerance granular space and its applications[D].Beijing: Graduat e School of the Chinese Academy of Sciences,2005.
[60]仇国芳,陈 劲. 概念知识系统与概念信息粒格[J].工程数学学报, 2005,2 2( 6):963-969.
?QIU Guofang, CHEN Jin. Concept knowledge system and concept information granular lattice[J].Chinese Journal of Engineering Mathematics, 2005,22(6):963-969. 
[61]阮 达,黄崇福. 模糊集与模糊信息粒理论[M].北京:北京师范大学出版社,2000. 
[62]ZADEH L A. Fuzzy logic=computing with words[J]. IEEE Trans on Fuzzy Sy stems, 1996(4):103-111.
[63]李道国, 苗夺谦,张东星,等. 粒度计算研究综述[J].计算机科学, 2005,32 (9):1-12.
?LI Daoguo, MIAO Duoqian, ZHANG Dongxing, et al.An overview of granular computing [J].Computer Science, 2005,32(9):1-12.
[64]ZADEH L A. Towards a theory of fuzzy information granulation and i ts centra lity in human reasoning and fuzzy logic[J].Fuzzy Sets and Systems, 1997,19:111 -127.
[65]ZADEH L A. Some reflections on soft computing, granular computing and thei r roles in the conception, design and utilization of information/intelligent syste ms[J].Soft Computing, 1998(2):23-25.
[66]WANG P. Computing with words[M].New York:John Wiley&Sons,2001.
[67]李 征,邵世煌.基于信息粒化、语词计算模糊控制系统中的信息重组[J]. 东华大学学报, 2000, 2(3):9-13.
?LI Zheng, SHAO Shihuang. Information retrieval in fuzzy control system based on information granulation and computing with words[J]. Journal of Donghua Univer sity, 2000, 2(3):9-13.
[68]李 征,王维工. 基于信息粒化和语词计算的模糊控制器[J].辽宁工程技术大学学报(自然科学版), 2001, 20(5):636- 639.
?LI Zheng, WANG Weigong. Fuzzy controller based on information granulation and co mputing with words[J]. Journal of Liaoning Technical University (Natural Scien ce Edition), 2001, 20(5):636- 639
[69]WANG F Y, TONG L Y. Linguistic dynamic systems and computing with words for complex systems[A].Proceedings of IEEE International Conference on System s, Man, and Cybernetics[C]. Nashville,USA,2000.
[70]WANG F Y, LIN Y T. Linguistic dynamic systems and computing with words fo r modeling and simulation of complex systems, in discrete event modeling and si mulation technologies:a tapestry of systems and AIbased theories and methodol ogies[M].[S.l.],1998.
[71] WANG F Y. Computing with words and linguistic dynamic systems[M]. Worl d Scientific Publishing Co, 2004.
?[72]王飞跃.词计算和语言动力学系统的基本问题和研究[J].自动化学报,2005 ,31(6):844-852.
?WANG Feiyue. Fundamental issues in research of computing with words and linguist ic dynamic systems[J].Acta Automatica Sinica, 2005,31(6):844-852.
[73]PAWLAK Z. Rough sets[J].International Journal of Computer and Information Sciences, 1982(11):341-356.
[74]PAWLAK Z. Rough sets:Theoretical Aspects of Reasoning about Data[M].[S. l.] Kluwer Academic Publishers, Dordrecht, 1991.
[75]王国胤. Rough 集理论与知识获取[M].西安:西安交通大学出版社, 2001.
[76]KRYSZKEIWICZ M. Rough set approach to incomplete information systems[J] .Information Science,1998,112: 39-49.
[77]STEFANOWSKI J, TSOUKIAS A. On the extension of rough sets under incomplet e information[A].Proc of the 7th Interna ti onal Workshop on New Directions in Rough Sets, Data Mining, and Granular Soft Co mputing[C]. Berlin,1999.
[78]王国胤. Rough 集理论在不完备信息系统中的扩充[J]. 计算机研究与发展 , 2002,39(10):1238-1243.
WANG Guoyin. Extension of rough set under incomplete information systems[J]. J ournal of Computer Research and Development, 2002,39(10):1238-1243.
[79]ZHANG Q H, WANG G Y, HU J, et al. Incomplete information systems p r ocessing based on fuzzyclustering[A].2006 IEEE/WIC/ACM International Confere nce on Web Intelligence and Intelligent Agent Technology [C].Hong Kong,China,2 006.
[80]张文修,吴伟志,梁吉业,等. 粗糙集理论与方法[M]. 北京:科学出版社,2001.
[81]黄兆华,邓毅雄. 粒计算及其应用的研究[J].华东交通大学学报, 2005,22( 5 ):124-128.
?HUANG Zhaohua, DENG Yixiong. An approach for granular computing and its applicat ion[J].Journal of East China Jiaotong University, 2005,22(5):124-128. 
[82]PAWLAK Z. Granularity of knowledge , indiscernibility and rough se ts [A] .Proceedings of 1998 IEEE International Conference on Fuzzy Systems [C]. [S.l.],1998. 
[83]POLKOWSKI L, SKOWRON A. Roughneuro computing[A].Proceedings of the Sec ond International Conference on Rough Sets and Current Trends in Computing [C].Ber lin:SpringerVerlag,2005.
[84]SKOWRON A. Toward intelligent systems: calculi of information granules[A ].P roceedings of International Workshop on Rough Set Theory and Granular Computing( RSTGC’2001)[C].Matsue, Shimane, Japan, 2001.
[85]PETERS J F, SKOWRON A, SURAJ Z, et al. Measures of inclusion and closenes s of information granules:a rough set approach[A].Proceedings of the Third In ternational Conference on RSCTC’2002[C].Malvern,USA:Springer,2002.
[86]PETERS J F, SZCZUKA M S. Rough neurocomputing:a survey of basic models o f neurocomputation[A].Proceedings of the Third International Conference on RSC TC’2002[C]. Malvern,USA:Springer,2002.
[87]LIN T Y. Granular fuzzy sets : a view form rough set and probability theo ries[J]. International Journal of Fuzzy Systems, 2001, 3(2) :373-381.
[88]YAO J T, YAO Y Y. Induction of classification rules by granular computing [A].Proceedings of the Third International Conference on RSCTC’2002[C].Malv ern,USA:Springer,2002.
[89]徐 峰,张 铃,王伦文.基于商空间理论的模糊粒度计算方法[J].模式识别与人工智能, 2004,17(4):424-429.
?XU Feng, ZHANG Ling, WANG Lunwen. The approach of the fuzzy granular computing b ased on the theory of quotient space[J]. Pattern Recognition and Artificial In telligence, 2004,17(4):424-429.
[90]徐 峰,张 铃.基于商空间的非均匀粒度聚类分析[J].计算机工程, 2005, 31(3):26-28.
XU Feng, ZHANG Ling. An analysis of uneven granules clustering based on quotient space[J].Computer Engineering, 2005,31(3):26-28.
[91]张 旻 ,吴涛,王伦文,等.商空间粒度计算理论在数据库和数据仓库中应用[J ].计算机工程与应用, 2003, 39(17): 47-49.
?ZHANG Min, WU Tao, WANG Lunwen, et al. The application of granularity of the quo tient space theory in database and data warehouse[J].Computer Engineering and Applications, 2003, 39(17): 47-49.
[92]张持健,李 畅,张 铃.商空间理论(粒度计算方法)实现高精度模糊控制[J ]. 计算机工程与应用, 2004, 40(11): 37-39.
?ZHANG Chijian, LI Chang, ZHANG Ling. Realizing the highprecision fuzzy control based on the theory of quotient space(methods of granular computing) [J].Compu ter Engineering and Applications, 2004, 40(11): 37-39.
[93]刘 岩,李友一, 陈占军,等. 基于商空间理论的模糊控制在航空相机中的应用[J].南京航空航天大学学报, 2006,38(7):88-90.
?LIU Yan, LI Youyi, CHEN Zhanjun,et al. Application of fuzzy controller based on quotient space theory to aerial camera[J].Journal of Nanjing University of Ae ronautics & Astronautics, 2006,38(7):88-90.
[94]毛军军,郑婷婷,张 铃.基于商空间理论的生物序列比较模型[J].计算机工程与应用, 2004,40(34):15-17.
?MAO Junjun, ZHENG Tingting, ZHANG Ling. Biological sequence alignments based on quotient space[J]. Computer Engineering and Applications, 2004,40(34):15-17. 
[95]张燕平,张 铃,吴 涛.不同粒度世界的描述法——商空间法[J].计算机学报, 200 4, 27(3): 328-333.
ZHANG Yanping, ZHANG Ling, WU Tao. The representation of different granular worl ds:a quotient space[J].Chinese Journal of Computers, 2004, 27(3): 328-333. 
[96]ZHU W, WANG F Y. Reduction and axiomization of Covering generalized rough sets[J].Information Sciences, 2003,152, 217-230.
[97]祝 峰,何华灿. 粗集的公理化[J].计算机学报, 2000,23(3):330-333. ZHU Feng, HE Huacan. The axiomatization of the rough set[J]. Chinese Journal o f computers, 2000,23(3):330- 333.
[98]HU J, WANG G Y, ZHANG Q H. Uncertainty measure of covering generat e d rough set[A].2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology[C].Hong Kong,2006.
[99]MA J M, ZHANG W X, LI T J. A Covering model of granular computing[A]. P roce eding of the Fourth International Conference on Machine Learning and Cybernetics [C].Guangzhou, China,2005.
[100]WILLE R. Restructuring lattice theory: an approach based on hierar chies of concepts[M].Reidel:DordrechtBoston, 1982.
[101]胡可云, 陆玉昌, 石纯一. 概念格及其应用进展[J]. 清华大学学报(自然科学版), 2000,40(9):77-81. HU Keyun, LU Yuchang, SHI Chunyi. Advances in concept lattice and its applicatio n[J].Journal of Tsinghua University(Science and Technology), 2000,40(9):77-81 .
[102]仇国芳, 陈 劲. 概念知识系统与概念信息粒格[J].工程数学学报, 2005 ,22(6):963-969.
?QIU Guofang, CHEN Jin. Concept knowledge system and concept information granular lattice[J].Chinese Journal of Engineering Mathematics, 2005,22(6):963-969. 
[103]仇国芳,荆彦玲.粗糙集与概念格[M].西安:西安交通大学出版社, 2006. 
[104]张文修,仇国芳.基于粗糙集的不确定性决策[M].北京:清华大学出版社,2005.
[105]曲开社,翟岩慧. 偏序集、包含度与形式概念分析[J].计算机学报, 2006, 29(2):219-226. 
QU Kaishe, ZHAI Yanhui. Posets, inclusion degree theory and FCA[J].Chinese Jou rnal of Computers, 2006,29(2):219- 226. [106]蒙祖强,蔡自兴.一种新的计算方法:粒度进化计算[J].计算机工程与应用, 2006,42(1):5-8. MENG Zuqiang, CAI Zixing. A new computing:granular evolutionary computing[J]. Computer Engineering and Applications, 2006,42(1):5-8.
[107]张 铃.浅谈粒度计算[EB/OB].,2006-06-21.
[108]黄正华,胡宝清.模糊粗糙集理论研究进展[J].模糊系统与数学, 2005,19( 4):125-134.
?HUANG Zhenghua, HU Baoqing. The studies of fuzzy rough sets theory:a survey[J] .Fuzzy Systems and Mathematics, 2005,19(4):125-134. [109]DUBOIS D, PRADE H. Rough fuzzy sets and fuzzy rough sets[J]. Int ernational Journal of General Systems, 1990, 17:91-109.
110】GRECO S , MATARAZZO B, SLOWIFISKI R. Fuzzy s imilarity relation as a basis for rough approximations[A]. RSCTC’98[C]. Heidelberg: SpringerVer l ag, 1998.
[111]RADZIKOWSKA A M, KERRE E E. A comparative study of fuzzy rough set s[J].Fuzzy Sets and Systems, 2002, 126:137-155.
[112]毛军军,张 铃,许义生.基于商空间和信息粒度的Fuzzy聚类分析[J].运筹与管理, 2004,13(4):25-29.
?MAO Junjun, ZHANG Ling, XU Yisheng. Fuzzy clustering analysis based on quotient space and information granularity [J].Operations Research and Management Scie nce, 2004,13(4):25-29.
[113]张燕平,张 铃,夏 莹.商空间理论与粗糙集的比较[J].微机发展, 2004, 14(1 0):21-24.
?ZHANG Yanping, ZHANG Ling, XIA Ying. To compare the theory of quotient space wit h rough set[J]. Microcomputer Development, 2004,14(10):21-24.
[114]刘仁金,黄贤武,孟 静,等.基于商空间的纹理图像分割[J].计算机应用, 2 004,24(7):37-39.
?LIU Renjin, HUANG Xianwu, MENG Jing,et al. Texture image segmentation based on q uotient space[J].Computer Applications, 2004,24(7):37-39.
[115]PEDRYCZ W, SMITH M H, BARGIELA A. A granular signature of data [A].Int Conf NAFIPS’2000[C].Atlanta, USA,2000.
[116]HIROTA H, PEDRY W. Fuzzy relational compression[J]. IEEE Trans Syst,Ma n,Cybem, 1999,29(3):407-415.
[117]NOBUHARA H, PEDRYEZ W, HIROTA K. Fast soling method of fury relational e qu ation and its application to image compression/reconstruction[J]. IEEE Trans F ury Syst, 2000,8(3): 325-334.
[118]修保新,吴孟达. 图像模糊信息粒的适应性度量及其在边缘检测中的应用[J ].电子学报, 2004, 32(2): 274-277.
 XIU Baoxin, WU Mengda. Adaptability measure to fuzzy information granule on imag e and its application to edgedetection[J].Acta Electronica Sinica, 2004, 32( 2): 274- 277.
[119]修保新,任双桥,张维明.基于模糊信息粒化理论的图像插值方法[J].国防科技大学学报, 2004,26(3):34-38.
XIU Baoxin, REN Shuangqiao, ZHANG Weiming. An approach to image interpolation ba sed on the theory of fuzzy information granulation[J].Journal of National Univ ersity of Defense Technology, 2004,26(3):34-38.
[120]刘仁金. 基于商空间的纹理图像分割研究[D].合肥:安徽大学, 2005.
?LIU Renjin. Study of texture image segmentation based on the quotient space[D ].Hefei: Anhui University, 2005.
[121]张丽娟,李舟军,陈火旺.粒度计算及其在数据挖掘中的应用[J].计算机科学, 2005,32(12):178-180.
ZHANG Lijuan, LI Zhoujun, CHEN Huowang. Granular computing and its applications in data mining[J].Computer Science, 2005,32(12):178-180.
[122]WEI J M. Rough set based approach to selection of node[J].Inter national Journal of Computational Cognition, 2003,1(2):25-40.
[123]苗夺谦,王 珏. 基于粗糙集的多变量决策树构造方法[J].软件学报,199 7,8 (6):425-431.
?MIAO Duoqian, WANG Jue. Rough sets based approach for multivariate decision tree construction[J].Journal of Software, 1997,8(6):425-431.
[124] JELONEK J.Rough set reduction of attributes and their domains for neural networks[J].Inter J of Computational Intelligence, 1995,11(2):339-347.
[125]沈亚兰. 基于粒度计算的数据挖掘方法的研究[D].沈阳:沈阳工业大学,20 06.
SHEN Yalan. Research on methods of data mining based on granular computing[D]. Shenyang: Shenyang University of Technology,2006.
[126]张持健. 商空间下模糊系统与模糊控制的问题求解[D].合肥:安徽大学, 2 005. ZHANG Chijian. Problem solving of fuzzy system & fuzzy control based on the theo ry of quotient space[D].Heifei: Anhui University, 2005.
[127]张燕平. 基于商空间的构造性数据控掘方法及应用[D].合肥:安徽大学,2 003.
ZHANG Yanping. A structural method of data mining based on quotient space and it s applications[D].Heifei: Anhui University,2003.
?[128]LIU Q, FENG J, DENG D Y. Design and implement for diagnosis system s of hemorheology on blood viscosity syndrome based on GrC[A].RSFDGrC’2003[C ]. Berlin,2003.
[129]HU J, WANG G Y, ZHANG Q H, et al. Attribute reduction based on granular computing[A].The Fifth International Conference on Rough Set s and Current Trends in Computing[C].[S.l.],2006.
?[130]WEI L, MIAO D Q. Application of granular computing in knowledge re duction[A].First International Conference RSKT 2006[C].[S.l.],2006
. [131]王国胤,何 晓.一种不确定性条件下的自主式知识学习模型[J].软件学报 , 2003,14(6):1096-1102. WANG Guoyin, HE Xiao. A selflearning model under uncertain condition[J] .Journal of Software, 2003,14(6):1096- 1102.
[132]WANG G Y. Domainoriented datadriven data mining based on rough set[A]. Proc Int Forum on Theory of GrC from Rough Set Perspective[C] .[S.l.],2006
相似文献/References:
[1]张继福,张素兰,胡立华.约束概念格及其构造方法[J].智能系统学报,2006,1(2):31.
 ZHANG Ji-fu,ZHANG Su-lan,HU Li-hua.Constrained concept lattice and its construction method[J].CAAI Transactions on Intelligent Systems,2006,1():31.
[2]何清.物联网与数据挖掘云服务[J].智能系统学报,2012,7(3):189.
 HE Qing.The Internet of things and the data mining cloud service[J].CAAI Transactions on Intelligent Systems,2012,7():189.
[3]周丹晨.采用粒计算的属性权重确定方法[J].智能系统学报,2015,10(2):273.[doi:10.3969/j.issn.1673-4785.201312008]
 ZHOU Danchen.A method for ascertaining the weight of attributes based on granular computing[J].CAAI Transactions on Intelligent Systems,2015,10():273.[doi:10.3969/j.issn.1673-4785.201312008]
[4]李海林,郭韧,万校基.基于特征矩阵的多元时间序列最小距离度量方法[J].智能系统学报,2015,10(3):442.[doi:10.3969/j.issn.1673-4785.201405047]
 LI Hailin,GUO Ren,WAN Xiaoji.A minimum distance measurement method for amultivariate time series based on the feature matrix[J].CAAI Transactions on Intelligent Systems,2015,10():442.[doi:10.3969/j.issn.1673-4785.201405047]
[5]申彦,朱玉全.CMP上基于数据集划分的K-means多核优化算法[J].智能系统学报,2015,10(4):607.[doi:10.3969/j.issn.1673-4785.201411036]
 SHEN Yan,ZHU Yuquan.An optimized algorithm of K-means based on data set partition on CMP systems[J].CAAI Transactions on Intelligent Systems,2015,10():607.[doi:10.3969/j.issn.1673-4785.201411036]
[6]李峰,苗夺谦,刘财辉,等.基于决策粗糙集的图像分割[J].智能系统学报,2014,9(2):143.[doi:10.3969/j.issn.1673-4785.201307022]
 LI Feng,MIAO Duoqian,LIU Caihui,et al.Image segmentation algorithm based on the decision-theoretic rough set model[J].CAAI Transactions on Intelligent Systems,2014,9():143.[doi:10.3969/j.issn.1673-4785.201307022]
[7]刘翠君,赵才荣,苗夺谦,等.粒化的Mean Shift行人跟踪算法[J].智能系统学报,2016,11(4):433.[doi:10.11992/tis.201605033]
 LIU Cuijun,ZHAO Cairong,MIAO Duoqian,et al.Granular mean shift pedestrian tracking algorithm[J].CAAI Transactions on Intelligent Systems,2016,11():433.[doi:10.11992/tis.201605033]
[8]苗夺谦,张清华,钱宇华,等.从人类智能到机器实现模型——粒计算理论与方法[J].智能系统学报,2016,11(6):743.[doi:10.11992/tis.201612014]
 MIAO Duoqian,ZHANG Qinghua,QIAN Yuhua,et al.From human intelligence to machine implementation model: theories and applications based on granular computing[J].CAAI Transactions on Intelligent Systems,2016,11():743.[doi:10.11992/tis.201612014]
[9]石磊,杜军平,周亦鹏,等.在线社交网络挖掘与搜索技术研究[J].智能系统学报,2016,11(6):777.[doi:10.11992/tis.201612007]
 SHI Lei,DU Junping,ZHOU Yipeng,et al.A survey on online social network mining and search[J].CAAI Transactions on Intelligent Systems,2016,11():777.[doi:10.11992/tis.201612007]
[10]淦文燕,刘冲.一种改进的搜索密度峰值的聚类算法[J].智能系统学报,2017,12(2):229.[doi:10.11992/tis.201512036]
 GAN Wenyan,LIU Chong.An improved clustering algorithm that searches and finds density peaks[J].CAAI Transactions on Intelligent Systems,2017,12():229.[doi:10.11992/tis.201512036]
[11]汤建国,汪江桦,韩莉英,等.基于覆盖粗糙集的语言动力系统[J].智能系统学报,2014,9(2):229.[doi:10.3969/j.issn.1673-4785.201307018]
 TANG Jianguo,WANG Jianghua,HAN Liying,et al.Linguistic dynamic systems based on covering-based rough sets[J].CAAI Transactions on Intelligent Systems,2014,9():229.[doi:10.3969/j.issn.1673-4785.201307018]
[12]张晓鹤,陈德刚,米据生.基于信息熵的对象加权概念格[J].智能系统学报,2020,15(6):1097.[doi:10.11992/tis.202006043]
 ZHANG Xiaohe,CHEN Degang,MI Jusheng.Object-weighted concept lattice based on information entropy[J].CAAI Transactions on Intelligent Systems,2020,15():1097.[doi:10.11992/tis.202006043]

备注/Memo

收稿日期:2007-04-02.
基金项目:国家自然科学基金资助项目(60573068);重庆市教委科学技术研究资助项目(KJ060517).
作者简介:

王国胤,男,1970年生,教授,博士生导师,博士,上海交通大学、西安交通大学、西南交通大学、电子科技大学和西安电子科技大学兼职教授,国际粗糙集学会常务理事兼顾问委员会主席,IEEE高级会员,中国人工智能学会常务理事兼粗糙集与软计算专业委员会主任委员,中国计算机学会人工智能与模式识别专业委员会常务理事,重庆计算机学会副理事长,重庆市人工智能学会副理事长,《Transactions on Rough Sets》、《International Jou rnal of Cognitive Informatics & Natural Intelligence》、《计算机学报》等6种学术期刊的编委.王国胤教授组织召开了10个国际国内学术会议,并担任会议主席或共同主席,是10多个系列性国际学术会议的程序委员会委员,应邀在MSRAS2004、RSGrC2007、PReMI200 7、IECT2007等国际会议,以及CRSSC2002、CAAI2005、CNNC2006等全国会议上作特邀报告. 主持国家自然科学基金、国家863计划等20多项国家级、省部级科研项目.获重庆市自然科学二等奖、三等奖各1次.在国内外主要学术刊物和学术会议上发表200多篇,其中被国际权威检索刊物SCI、EI等收录130多篇(次),论著被他人引用1400多次.出版学术专著2部.
E-mail: wanggy@cqupt.edu.cn.
张清华,男,1974年生,博士研究生,主要研究方向为粒计算、 模糊集理论、粗糙集理论. E-mail: zhangqh@cqupt.edu.cn.
胡 军,男,1977年生,博士研究生,主要研究方向为粒计算、粗糙集理论、知识获取等.E-mail: hujun@cqupt.edu.cn.

更新日期/Last Update: 2009-05-08
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com