引文
[1]Pawlak Z.Rough sets[J].International Journal of Parallel Program-ming,1982,11(5):341-356.
[2]Mac Parthalain N,Shen Q.On rough sets,their recent extensionsand applications[J].Knowledge Engineering Review,2010,25(4):365-395.
[3]王国胤,姚一豫,于洪.粗糙集理论及应用研究综述[J].计算机学报,2009,32(7):1229-1246.(Wang Guoyin,Yao Yiyu,YuHong.A survey on rough set theory and applications[J].ChineseJournal of Computers,2009,32(7):1229-1246.)
[4]Wong SKM,Ziarko W.On optimal decision rules in decision tables[J].Bullet in of Polish Academy of Sciences,1985,33:693-696.
[5]Hirano S,Tsumoto S.Segmentation of medical images based on ap-proximations in rough set theory[C].Proceedings of the Third In-ternational Conference on Rough Sets and Current London:Spring-er-Verlag,2002:554-563.
[6]Mac Parthalain N,Jensen R,Shen Q.Rough and fuzzy-rough meth-ods for mammographic data analysis[J].Intelligent Data Analysis-An International Journal,2010,14(2):225-244.
[7]Nejman D.A rough set based method of handwritten numberalsclassification[R].Warsaw,1994.
[8]Slowinski R,Stefanowski J.RoughDAS and RoughClass softwareimplementations of the rough sets approach[M].Dordrecht:KluwerAcademic Publishers,1992.
[9]Grzymala-Busse JW.LERS-A system for learning from examplesbased on rough sets[M].Dordrecht,Boston,London:Kluwer Aca-demic Publishers,1992.
[10]Ohrn A,Komorowski J.ROSETTA-A rough set toolkit for analysis ofdata[C].In Proceeding of Third International Joint Conference onInformation Sciences(JCIS’97),North Carolina,USA,1997.
[11]Wang G-Y,Zheng Z,Zhang Y.RIDAS-a rough set based intelli-gent data analysis system[C].2002 International Conference onMachine Learning and Cybernetics,2002.
[12]Ziarko W.KDD-R:Rough sets-based data mining system[M].Ber-lin:Springer-Verlag,1998.
[13]Rosetta,a rough set toolkit for analyzing data.http://www.idi.nt-nu.no/aleks/rosetta/.
[14]Jan K,Zdzislaw P,Lech P,et al.Rough Sets:A Tutorial[C].In:Pal SK,Skowron A,editors.Rough Fuzzy Hybridization:A NewTrend in Decision-Making.Singapore,1998.
[15]Pawlak Z,Skowron A.Rudiments of rough sets[J].Information Sci-ences,2007,177(1):3-27.
[16]Zhu W.Generalized rough sets based on relations[J].InformationSciences,2007,177(22):4997-5011.
[17]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.(Zhang Wenxiu,Wu Weizhi,Liang Jiye,et al.Rough set theory and method[M].Beijing:Science Press,2001.)
[18]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.(Wang Guoyin.Rough set theory and knowledge dis-covery[M].Xi’an:Xi’an Jiaotong University Press,2001.)
[19]米据生,吴伟志,张文修.粗糙集的构造与公理化方法[J].模式识别与人工智能,2002,15(3):280-284.(Mi Jusheng,WuWeizhi,Zhang Wenxiu.Constructive and Axiomatic Approaches ofTheory of Rough Sets[J].PR&AI,2002,15(3):280-284.)
[20]Wu W-Z,Mi J-S,Zhang W-X.Generalized fuzzy rough sets[J].In-formation Sciences,2003,151(263-282.
[21]Morsi NN,Yakout MM.Axiomatics for fuzzy rough sets[J].Fuzzysets and systems,1998,100(1-3):327-342.
[22]史开泉,崔玉泉.S-粗集和它的一般结构[J].山东大学学报,2002,37(6):471-474.(Shi Kaiquan,Cui Yuquan.S-Rough Setand Its General Structures[J].Journal of shandong university,2002,37(6):471-474.)
[23]Ziarko W.Variable Precision Rough Set Model[J].Journal of com-puter and system sciences,2003,46(1):39-59.
[24]Yao YY,Wong SKM,Lin TY.A Review of Rough Sets Models[M].Kluwer Academic Publicers,1997.
[25]Yao YY,Lin TY.generalization of rough set using modal logics[J].Intelligent Automation and Soft Computing,1996,2(2):103-120.
[26]Yao YY.Decision-theoretic rough set models[C].the 2nd interna-tional conference on Rough sets and knowledge technology:Spring-er-Verlag,2007.
[27]Dominik S.Rough sets and Bayes factor[C].In:Peters J,SkowronA,editors.Transactions on Rough Sets III:Springer Berlin,2005,53-63.
[28]Radzikowska AM,Kerre EE.A comparative study of fuzzy roughsets[J].Fuzzy sets and systems,2002,126(2):137-155.
[29]Yeung DS,Chen DG,Tsang ECC,et al.On the generalization offuzzy rough sets[J].IEEE Transactions on Fuzzy Systems,2005,13(3):343-361.
[30]Cornelis C,De Cock M,Radzikowska AM.Vaguely quantified roughsets[C].Rough Sets,Fuzzy Sets,Data Mining and Granular Com-puting,Proceedings,2007:87-94.
[31]Zakowski W.Approximations in the space(U,Π)[J].Demonstra-tio Mathematica,1983,16:761-769.
[32]Qin K,Gao Y,Pei Z.On Covering Rough Sets[C].In:Yao J,Lin-gras P,Wu W-Z,Szczuka M,Cercone N,Sle?zak D,editors.Rough Sets and Knowledge Technology:Berlin,2007,34-41.
[33]Tsang ECC,Chen DG,Lee JWT,et al.On the upper approximationsof covering generalized rough sets[C].2004 International Confer-ence on Machine Learning and Cybernetics,2004:4200-4203.
[34]Zhu W.Topological approaches to covering rough sets[J].Informa-tion Sciences,2007,177(6):1499-1508.
[35]张文修,姚一豫,梁怡.粗糙集与概念格[M].西安:西安交通大学出版社,2006.(Zhang Wenxiu,Yao Yiyu,Liang Yi.Rough Setand Concept Lattice[M].Xi’an:Xi’an Jiaotong University Press,2006.)
[36]Bonikowski Z,Bryniarski E,Wybraniec-Skardowska U.Extensionsand intentions in the rough set theory[J].Information Sciences,1998,107(1-4):149-167.
[37]Wang GY,Hu F,Huang H,et al.A Granular Computing ModelBased on Tolerance relation[J].The Journal of China Universitiesof Posts and Telecommunications,2005,12(3):86-90.
[38]Qian Y,Liang J,Yao Y,et al.MGRS:A multi-granulation rough set[J].Information Sciences,2010,180(6):949-970.
[39]Qian Y-H,Liang J-Y,Dang C-Y.Incomplete MultigranulationRough Set[J].Systems,Man and Cybernetics,Part A:Systems andHumans,IEEE Transactions on,2010,40(2):420-431.
[40]Suyun Z,Tsang E,Degang C.The Model of Fuzzy Variable Preci-sion Rough Sets[J].Fuzzy Systems,IEEE Transactions on,2009,17(2):451-467.
[41]Inuiguchi M,Yoshioka Y,Kusunoki Y.Variable-precision domi-nance-based rough set approach and attribute reduction[J].Inter-national Journal of Approximate Reasoning,2009,50(8):1199-1214.
[42]Ziarko W.Variable Precision Rough Set Model[J].Journal of Com-puter and System Sciences,1993,46(1):39-59.
[43]米据生,吴伟志,张文修.基于变精度粗糙集理论的知识约简方法[J].系统工程理论与实践,2004,(1):76-82.(Mi Jusheng,Wu Weizhi,Zhang Wenxiu.Knowledge Reducts Based on VariablePrecision Rough Set Theory[J].Systems Engineering-Theory&Practice,2004,(1):76-82.)
[44]赵亮,薛质.基于变精度粗糙集的多属性群决策信息系统安全评估[J].上海交通大学学报,2009,43(7):1161-1166.(ZhaoLiang,Xue Zhi.Multi-attribute Group Decision-Making InformationSystem Security Assessment Based on VPRS[J].JOURNAL OFSHANGHAI Jiaoong university,2009,43(7):1161-1166.)
[45]Ningler M,Stockmanns G,Schneider G,et al.Adapted variable pre-cision rough set approach for EEG analysis[J].Artificial Intelli-gence in Medicine,2009,47(3):239-261.
[46]Skowron A,Stepaniuk J.Tolerance approximation spaces[J].Fun-damenta Informaticae,1996,27:245-253.
[47]Ho TB,Nguyen NB.Nonhierarchical document clustering based ona tolerance rough set model[J].International Journal of IntelligentSystems,2002,17(2):199-212.
[48]Ngo CL,Nguyen HS.A tolerance rough set approach to clusteringweb search results[C].Knowledge Discovery in Databases:PKDD2004,2004:515-517.
[49]Greco S,Matarazzo B,Slowinski R.Rough sets theory for multicrite-ria decision analysis[J].European Journal of Operational Re-search,2001,129(1):1-47.
[50]朱冰冰,吴绍春,王炜.以优势关系为基础的粗糙集在地震数据挖掘中的应用[J].计算机应用,2006,26(12):3023-3026.(Zhu Bingbing,et al.Application of dominance rough set in seis-mology[J].Computer Applications,2006,26(12):3023-3026.)
[51]黄兵,胡作进,周献中.优势模糊粗糙模型及其在审计风险评估中的应用[J].控制与决策,2009,24(6):899-902.(Huang Bin,et al.Dominance relation-based fuzzy-rough model and its applica-tion to audit risk evaluation[J].Control and Decision,2009,24(6):899-902.)
[52]梁燕飞,何汉武,郑德涛.基于优势关系粗糙集的驾驶行为研究[J].武汉理工大学学报(交通科学与工程版),2008,32(2):271-274.(Liang Yanfei,et al.Study on Decision of Driving Plan-ning Based on Dominance Relational Rough Sets[J].Journal ofwuhan university of technology(transportation science&engineer-ing),2008,32(2):271-274.)
[53]Dubois D,Prade H.Rough Fuzzy-Sets and Fuzzy Rough Sets[J].International Journal of General Systems,1990,17(2-3):191-209.
[54]Zhang DB,Wang YN,Huang HX.Rough neural network modelingbased on fuzzy rough model and its application to texture classifica-tion[J].Neurocomputing,2009,72(10-12):2433-2443.
[55]Malyszko D,Stepaniuk J.Standard and Fuzzy Rough Entropy Clus-tering Algorithms in Image Segmentation[C].RSCTC'08 Proceed-ings of the 6th International Conference on Rough Sets and CurrentTrends in Computing,Akron:Springer-Verlag 2008.
[56]Chen C.A Fuzzy Rough Approximation Approach for Clustering Us-er Access Patterns[C].2009 WRI World Congress on Software En-gineering,Xiamen,2009.
[57]Miao DQ,Xu FF,Wei L.Fuzzy-rough attribute reduction via mutualinformation with an application to cancer classification[J].Com-puters&Mathematics with Applications,2009,57(6):1010-1017.
[58]Kumar P,Vadakkepat P,Poh LA.Fuzzy-rough discriminative fea-ture selection and classification algorithm with application to mi-croarray and image datasets[J].Applied Soft Computing,2011,11(4):3429-3440.
[59]Shen Q,Jensen R.Selecting informative features with fuzzy-roughsets and its application for complex systems monitoring[J].PatternRecognition,2004,37(7):1351-1363.
[60]Mrózek A.Rough sets and dependency analysis among attributes incomputer implementations of expert's inference models[J].Interna-tional Journal of Man-Machine Studies,1989,30(4):457-473.
[61]Czogala E,Mrózek A,Pawlak Z.The idea of a rough fuzzy controllerand its application to the stabilization of a pendulum-car system[J].Fuzzy sets and systems,1995,72(1):61-73.
[62]Hassanien AE,Ali JMH.Rough set approach for generation of clas-sification rules of breast cancer data[J].Informatica,2004,15(1):23-38.
[63]Pang QC,Hou AJ,Hua QP,et al.Mining classification rules ofcancer patients for traditional Chinese medical treatments:A roughset based approach[C].Fourth International Conference on FuzzySystems and Knowledge Discovery,2007:295-299.
[64]Shen LX,Tay FEH,Qu LS,et al.Fault diagnosis using rough setstheory[J].Computers in Industry,2000,43(1):61-72.
[65]Tay FEH,Shen LX.Economic and financial prediction using roughsets model[J].European Journal of Operational Research,2002,141(3):641-659.
[66]孙亮,韩崇昭,康欣.多源遥感影像的集值特征选择与融合分类[J].电波科学学报,2004,19(04):479-484.(Sun Liang,HanChongzhao,Kang Xin.Feature selection for fusion classification ofmultisource remote sensing images on set-valued features[J].CHI-NESE JOURNAL OF RADIO SCIENCE,2004,19(04):479-484.)
[67]丛蓉,王秀坤,杨南海.融合粗糙集和DS方法的空中目标类型识别算法[J].控制与决策,2008,23(8):915-919.(Cong Rong,et al.Recognition algorithm of aerial targets type integrating roughset and DS theory[J].Control and Decison,2008,23(8):915-919.)
[68]Jin RM,Breitbart Y,Muoh C.Data discretization unification[J].Knowledge and Information Systems,2009,19(1):1-29.
[69]胡清华,赵辉,于达仁.基于粗糙集的符号与数值属性的快速约简算法[J].模式识别与人工智能,2008,6:732-738.(Hu Qing-hua,Zhao Hui,Yu Daren.Efficient Symbolic and Numerical Attrib-ute Reduction with Rough Sets[J].PR&AI,2008,6:732-738.)
[70]Qian Y,Liang J,Pedrycz W,et al.Positive approximation:An accel-erator for attribute reduction in rough set theory[J].Artificial Intel-ligence,2010,174(9-10):597-618.
[71]Liang JY,Qian YH,Pedrycz W,et al.An efficient accelerator for at-tribute reduction from incomplete data in rough set framework[J].Pattern Recognition,2011,44(8):1658-1670.
[72]Kryszkiewicz M.Maintenance of Reducts in the Variable PrecisionRough Sets Model[C].In:Lin TY,Cercone N,editors.Rough Setsand Data Mining:Analysis of Imprecise Data.Norwell:Kluwer Aca-demic Publishers 1996.
[73]王利,王国胤,吴渝.基于可变精度粗集模型的增量式规则获取算法[J].重庆邮电学院学报,2005,17(6):709-713.(WangLi,Wang Guoyin,Wu Yu.An incremental rule acquisition algo-rithm based on variable precision rough set model[J].Journal ofchongqing university of posts and telecommunications,2005,17(6):709-713.)
[74]Hu K,Lu Y,Shi C.Feature ranking in rough sets[J].AI Communi-cations,2003,16(1):41-50.
[75]王国胤,于洪,杨大春.基于条件熵的信息表约简[J].计算机学报,2002,25(7):759-766.(Wang Guoyin,Yu Hong,Yang Da-chun.Decision Table Reduction based on Conditional InformationEntropy[J].Chinese journal of computers,2002,25(7):759-766.)
[76]Wang G,Zhao J,An J,et al.A Comparative Study of Algebra View-point and Information Viewpoint in Attribute Reduction[J].Funda-menta Informaticae,2005,68(3):289-301.
[77]苗夺谦.知识约简的一种启发式方法[J].计算机研究与发展,1999,36(6):681-684.(Miao Duoqian,Hu Guirong.A HeuristicAlgorighm for Reduction of Knowledge[J].Journal of ComputerResearch and Development,1999,36(6):681-684.)
[78]Xueen W,Chongzhao H,Deqiang H.Reduction in decision tablebased on pair-wise complementarity of condition attributes[C].13th Conference on Information Fusion,Fusion 2010,Edinburgh,2010.
[79]魏立力,韩崇昭.基于卡方统计量的属性约简新方法[J].计算机仿真,2007,24(5):72-74.(Wei Lili,Han Chongzhao.A NovelAttribute Reduction Method Using ChiSquare Statistics[J].Com-puter Simulation,2007,24(5):72-74.)
[80]张海云,梁吉业,钱宇华.基于划分的信息系统属性约简[J].计算机应用,2006,26(12):2961-2964.(Zhang Haiyun,LiangJiye,Qian Yuhua.Attribute reduciotn based on partition in informa-tion system[J].Computer Applicaiotns,2006,26(12):2961-2964.)
[81]杨明.一种基于一致性准则的属性约简算法[J].软件学报,2010,33(2):231-239.(Ynag Ming.A Novel Algorithm for Attrib-ute Reduction Based on Consistency Criterion[J].CHINESEJOURNAL OF COMPUTERS,2010,33(2):231-239.)
[82]ZHANG W-X,MI J-S,WU W-Z.Knowledge Reductions in Incon-sistent Information Systems[J].Chinese Journal of Computers2003,26(1):12-18.
[83]徐章艳,杨炳儒,宋威.几种不同属性约简的比较研究[J].小型微型计算机系统,2008,29(5):848-853.(Xu Zhangyan,et al.Comparative Research of Different Attribute Reduction Definitions[J].Journal of Chinese Computer Systems,2008,29(5):848-853.)
[84]Hu QH,Zhao H,Xie ZX,et al.Consistency based attribute reduc-tion[J].Advances in Knowledge Discovery and Data Mining,Pro-ceedings,2007,4426:96-107.
[85]Mac Parthaláin N,Shen Q.Exploring the boundary region of toler-ance rough sets for feature selection[J].Pattern Recognition,2009,42(5):655-667.
[86]Parthalain NM,Shen Q,Jensen R.A Distance Measure Approach toExploring the Rough Set Boundary Region for Attribute Reduction[J].IEEE Transactions on Knowledge and Data Engineering,2010,22(3):305-317.
[87]Yao YY,Zhao Y,Wang J.On reduct construction algorithms[C].Rough Sets and Knowledge Technology,First International Confer-ence,RSKT 2006,Proceedings,2006:297-304.
[88]Jensen R,Shen Q.Finding Rough Set Reducts with Ant Colony Op-timization[C].Proceedings of the 2003 UK Workshop on Computa-tional Intelligence,2003:15-22.
[89]Ke LJ,Feng ZR,Ren ZG.An efficient ant colony optimization ap-proach to attribute reduction in rough set theory[J].Pattern recog-nition letters,2008,29(9):1351-1357.
[90]Wang X,Yang J,Teng X,et al.Feature selection based on roughsets and particle swarm optimization[J].Pattern recognition let-ters,2007,28(4):459-471.
[91]王文辉,周东华.基于遗传算法的一种粗糙集知识约简算法[J].系统仿真学报,2001,13:91-94.(Wang Wenhui,Zhou Don-ghua.An Algorithm for Knowledge Reduction in Rough Sets Basedon Genetic Algorithm[J].Journal of system simulation,2001,13:91-94)
[92]Jensen R,Shen Q.Computational Intelligence and Feature Selec-tion:Rough and Fuzzy Approaches[M]:IEEE Press and Wiley&Sons,2008.
[93]Sun L,Han C.Feature subset selection based on mahalanobis dis-tance:a statistical rough set method[J].Academic Journal of Xi'anJiaotong University,2008,22(1):14-18.
[94]Mi J-S,Wu W-Z,Zhang W-X.Approaches to knowledge reductionbased on variable precision rough set model[J].Information Sci-ences,2004,159(3-4):255-272.
[95]丛蓉,王秀坤,刘云飞,et al.基于变精度粗糙信息熵的特征约简算法[J].控制与决策,2009,24(2):297-281.(Cong Rong,etal.Algorithm of feature reduction based on variable precision roughinformation entropy[J].Control and Decision,2009,24(2):297-281.)
[96]Wang J-Y,Zhou J.Research of reduct features in the variable preci-sion rough set model[J].Neurocomputing,2009,72(10-12):2643-2648.
[97]张文修,魏玲,祁建军.概念格的属性约简理论与方法[J].中国科学E辑:信息科学,2005,35(6):628-639.(Zhang Wenxiu,Wei Ling,Qi jianjun.Attribute reduction based on concept lattice[J].Science in China(Series E),2005,35(6):628-639.)
[98]Jensen R,Shen Q.Fuzzy-rough sets for descriptive dimensionalityreduction[C].Proceedings of the 2002 IEEE International Confer-ence on Fuzzy Systems,2002:29-34.
[99]Jensen R,Shen Q.New approaches to fuzzy-rough feature selection[J].IEEE Transactions on Fuzzy Systems,2009,17(4):824-838.
[100]Bhatt RB,Gopal M.On fuzzy-rough sets approach to feature selec-tion[J].Pattern recognition letters,2005,26(7):965-975.
[101]Mac Parthalain N,Jensen R,Shen Q.Fuzzy entropy-assisted fuzzy-rough Feature Selection[C].2006 IEEE International Conferenceon Fuzzy Systems,2006:423-430.
[102]徐菲菲,苗夺谦,魏莱.基于互信息的模糊粗糙集属性约简[J].电子与信息学报,2008,30(6):1372-1375.(Xu Feifi,et al.Mutual Information-Based Algorithm for Fuzzy-Rough AttributeReduction[J].Journal of Electronics&Information Technology,2008,30(6):1372-1375.)
[103]Hu QH,Xie ZX,Yu DR.Hybrid attribute reduction based on a no-vel fuzzy-rough model and information granulation[J].Pattern Rec-ognition,2007,40(12):3509-3521.
[104]Qinghua Hu,Daren Yu,Zongxia Xie.Information-preserving hybriddata reduction based on fuzzy-rough techniques[J].Pattern Recog-nition Letters,2006,27(5):414-423.
[105]Pawlak Z.Rough classification[J].International Journal of Man-Machine Studies,1984,20(5):469-483.
[106]Pawlak Z,Slowinski K,Slowinski R.Rough classification of patientsafter highly selective vagotomy for duodenal ulcer[J].InternationalJournal of Man-Machine Studies,1986,24(5):413-433.
[107]Skowron A.Boolean reasoning for decision rules generation[C].In:Komorowski J,Ras Z,editors.Methodologies for Intelligent Sys-tems:Springer Berlin,1993.
[108]Pawlak Z,Skowron A.A rough set approach for decision rules gen-eration[R],1993.
[109]Grzymala-Busse J.LERS—A Data Mining System[M].In:MaimonO,Rokach L,editors.Data Mining and Knowledge Discovery Hand-book:Springer US,2005.
[110]Grzymala-Busse JW,Stefanowski J.Three discretization methods forrule induction[J].International Journal of Intelligent Systems,2001,16(1):29-38.
[111]Grzymala-Busse JW.MLEM2-Discretization during rule induction[C].International Conference on Intelligent Information Processingand Web Mining Systems,Zakopane:Springer-Verlag,2003.
[112]Grzymala-Busse JW.Three Strategies to Rule Induction from Datawith Numerical Attributes[C].In:Peters J,Skowron A,et al.edi-tors.Transactions on Rough Sets II.Berlin:Springer-Verlag,2004.
[113]Grzymala-Busse JW.Rough set approach to incomplete data[C].Artificial Intelligence and Soft Computing-ICAISC 2004.Berlin,2004.
[114]Grzymala-Busse JW.A rough set approach to data with missing at-tribute values[C].In:Wang G-Y,Peters J,Skowron A,Yao Y,edi-tors.Rough Sets and Knowledge Technology.Berlin:Springer-Ver-lag,2006.
[115]Grzymala-Busse JW.Mining numerical data-A rough set approach[C].In:Peters J,Skowron A,editors.Transactions on Rough SetsXI.Berlin:Springer-Verlag,2010.
[116]Grzymala-Busse JW.Mining incomplete data-A rough set approach[C].2008 International Forum on Knowledge Technology,2008:282-290.
[117]Grzymala-Busse JW,Hippe ZS,Rzasa W,et al.A Valued ToleranceApproach to Missing Attribute Values in Data Mining[C].Hsi:2009 2nd Conference on Human System Interactions,2009:217-224.
[118]徐怡,李龙澍,李学俊.改进的LEM2规则提取方法[J].系统工程理论与实践,2010,30(10):1940-1848.(Xu Yi,Li Longshu,Li Xuejun.Improved LEM2 rule Induction Algorithm[J].SystemsEngineering-Theory&Practice,2010,30(10):1940-1848.)
[119]代建华,潘云鹤.一种基于分类一致性的决策规则获取算法[J].控制与决策,2004,19(10):1806-1811.(Dai Jianhua,PanYunhe.Algorithm for acquisition of decision rules based on classifi-cation onsistency rate[J].Control and Decision,2004,19(10):1806-1811.)
[120]Khoo LP,Tor SB,Zhai LY.A Rough Set Based Approach for Clas-sification and Rule Induction[J].Advanced Manfaturing Technolo-gy,1999,15:438-444.
[121]常梨云,王国胤,吴渝.一种基于Rough Set理论的属性约简及规则提取方法[J].软件学报,1999,10(11):1206-1211.(ChangLiyun,Wang Guoyin,Wu Yu.1999,An Approach for Attribute Re-duction and Rule Generation Based on Rough Set Theory[J].Jour-nal of Software,10(11):1206-1211.)
[122]罗秋瑾,陈世联.基于值约简和决策树的最简规则提取算法[J].计算机应用,2005,25(8):1853-1855.(Luo Qiujin,ChenShiliang.Algorithm based on value reduction and decision tree togenerate minimal rules[J].Computer Applications,2005,25(8):1853-1855.)
[123]孙林,徐久成,马媛媛.基于新的条件熵的决策树规则提取方法[J].计算机应用,2007,27(4):884-887.(Sun Lin,Xu jiucheng,Ma Yuanyuan.Rules extraction method of decision tree based onnew conditional entropy[J].Computer Applications,2007,27(4):884-887.)
[124]Ziarko W.Acquisition of hierarchy-structured probabilistic decisiontables and rules from data[J].Expert Systems,2003,20(5):305-310.
[125]Zhao W,Zhu Y.Classifying email using variable precision rough setapproach[C].In:Wang G-Y,Peters J,Skowron A,Yao Y,editors.Rough Sets and Knowledge Technology,Springer Berlin,2006.
[126]Glymin M,Ziarko W.Rough Set Approach to Spam Filter Learning[C].In:Kryszkiewicz M,Peters J,Rybinski H,Skowron A,editors.Rough Sets and Intelligent Systems Paradigms,Springer Berlin,2007.
[127]张登峰,王执铨.故障特征选择与诊断规则提取的VPRS模型方法[J].系统仿真学报,2003,15(6):793-797.(Zhang Deng-feng,Wang Zhiquan.VPRS Model Approach to Fault Feature Selec-tion and Diagnostic Rules Extraction[J].Journal of system simula-tion,2003,15(6):793-797.)
[128]Miao D,Duan Q,Zhang H,et al.Rough set based hybrid algorithmfor text classification[J].Expert Systems with Applications,2009,36:9168-9174.
[129]Grzymala-Busse JW,Yao YY.Probabilistic Rule Induction with theLERS Data Mining System[J].International Journal of IntelligentSystems,2011,26(6):518-539.
[130]Kim D,Bang SY.A handwritten numeral character classification u-sing tolerant rough set[J].IEEE Transactions on Pattern Analysisand Machine Intelligence,2000,22(9):923-937.
[131]Yi GX,Hu HP,Lu ZD.Web document classification based on ex-tended rough set[C].Sixth International Conference on Paralleland Distributed Computing,Applications and Technologies,2005:916-918.
[132]Shao MW,Zhang WX.Dominance relation and rules in an incom-plete ordered information system[J].International Journal of Intel-ligent Systems,2005,20(1):13-27.
[133]Slowinski R,Kotlowski W,Dembczynski K,et al.Stochastic domi-nance-based rough set model for ordinal classification[J].Informa-tion Sciences,2008,178(21):4019-4037.
[134]Sarkar M.Fuzzy-rough nearest neighbors algorithm[C].2000 IEEEInternational Conference on Systems,Man&Cybernetics,2000:3556-3561.
[135]Sarkar M.Fuzzy-rough nearest neighbor algorithms in classification[J].Fuzzy sets and systems,2007,158(19):2134-2152.
[136]Bian HY,Mazlack L.Fuzzy-rough nearest-neighbor classificationapproach[C].NAFIPS 2003:22nd International Conference of theNorth American Fuzzy Information Processing Society,2003.
[137]Jensen R,Cornelis C.A New Approach to Fuzzy-Rough NearestNeighbour Classification[J].Rough Sets and Current Trends inComputing,Proceedings,2008,5306:310-319.
[138]Hu Q,An S,Yu X,et al.Robust fuzzy rough classifiers[J].Fuzzysets and systems,2011,183(1):26-43.
[139]Bhatt RB,Gopal M.FRCT:fuzzy-rough classification trees[J].Pat-tern Analysis&Applications,2008,11(1):73-88.
[140]Chen D,He Q,Wang X.FRSVMs:Fuzzy rough set based supportvector machines[J].Fuzzy Sets and Systems,2010,161(4):596-607.
[141]Jensen R,Cornelis C,Shen Q.Hybrid Fuzzy-Rough Rule Inductionand Feature Selection[C].2009 IEEE International Conference onFuzzy Systems,2009:1151-1156.
[142]孙亮,韩崇昭.集成特征选择的广义粗集方法与多分类器融合[J].自动化学报,2008,34(3):298-304.(Sun Liang,HanChongzhao,et al.Generalized Rough Set Method for Ensemble Fea-ture Selection and Multiple Classifier Fusion[J].Acta automaticasinica,2008,34(3):298-304.)