Computer Science ›› 2017, Vol. 44 ›› Issue (7): 232-236.doi: 10.11896/j.issn.1002-137X.2017.07.041
Previous Articles Next Articles
LU Yan-li, LEI Ying-jie and ZHOU Wei
[1] PAWLAK Z.Rough Sets[J].International Journal of Computer and Information Sciences,1982,11(5):341-356. [2] ZIARKO W.Variable Precision Rough Set Model[J].Journal of Computer and System Sciences,1993,46(1):39-59. [3] 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 [4] DUBOIS D,PRADE H.Rough Fuzzy Sets and Fuzzy RoughSets[J].Internatioanl Journal of General Systems,1990,17(2):191-209. [5] RADZIKOWSKA A M,KERRE E E.A Comparative Study ofFuzzy Rough Sets[J].Fuzzy Sets and Systems,2002,126(1):137-155. [6] PETERS J F,ZIAEI K,RAMANNA S,et al.Adaptive FuzzyRough Approximate Time Controller Design Methodology:Concepts,Petri Net Model and Application[C]∥Proc.IEEE Int.Conf.on Systems,Man,and Cybernetics.1998:2101-2106. [7] HU Q H,XIE Z X,YU D R.Hybrid Attributes Reduction Based on a Novel Fuzzy-rough Model and Information Granulation[J].Pattern Recognition,2007,40(12):3509-3521. [8] JENSEN R,SHEN Q.Fuzzy-Rough Sets Assisted Attribute Selection[J].IEEE Trans.on fuzzy System,2007,15(1):73-89. [9] QIAN Y H,WANG Q,CHENG H H,et al.Fuzzy-rough Feature Selection Accelerator[J].Fuzzy Sets and Systems,2015,9437(258):61-78. [10] WANG X F,WANG S H,DU H Z,et al.Fault Diagnosis ofChemical Industry Process Based on FRS and SVM[J].Control and Decision,2015,30(2):353-356.(in Chinese) 王鲜芳,王岁花,杜昊泽,等.基于模糊粗糙集和支持向量机的化工过程故障诊断[J].控制与决策,2015,30(2):353-356. [11] ATANASSOV K.Intuitionistic Fuzzy Sets[J].Fuzzy Sets and Systems,1986,20(1):87-96. [12] ATANASSOV K.Intuitionistic Fuzzy Sets:Theory and Applications[M].Heidelberg,Germany:Physica-Verlag,1999. [13] CHAKRABARTY K,GEDEON T,KOCZY L.IntuitionisticFuzzy Rough Sets[C]∥Proc.4th Joint Conf.on Information Sciences.Durham,NC:JCIS,1998:211-214. [14] TRIPATHY B K.Rough Sets on Intuitionistic Fuzzy Approximation Spaces[C]∥3rd Int.IEEE Conf.Intelligent Systems.September 2006:776-779. [15] CORNELIS C,DE COCK M,KERRE E E.Intuitionistic Fuzzy Rough Sets:at the Crossroads of Imperfect Knowledge[J].Expert Systems,2003,20(5):260-270. [16] XU W H,LIU Y F,SUN W X.Upper Approximation ReductionBased on Intuitionistic Fuzzy T Equivalence Information Systems[J].Lecture Notes in Computer Science,2012,7414(1):63-70. [17] WU W Z,GAO C J,LI T J,et al.On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator[J].Lecture Notes in Computer Science,2013,8170(1):147-156. [18] XUE Z A,CHENG H R,HUANG H S,et al.Rough Approximations of Intuitionistic Fuzzy Approximation Space[J].Computer Science,2013,40(4):221-226,5.(in Chinese) 薛占熬,程惠茹,黄海松,等.模糊空间中的直觉模糊粗糙近似[J].计算机科学,2013,40(4):221-226,5. [19] HUANG B,GUO C X,et al.Intuitionistic Fuzzy Multigranulation Rough Sets[J].Information Sciences,2014,277:299-320. [20] DESCHRIJVER G,CORNELIS C,KERRE E E.IntuitionisticFuzzy Connectives Revisited[C]∥Proc.9th Int.Conf.Information Processing Management Uncertainty Knowledge-Based Sys-tems.2002:1839-1844. [21] LU Y L,LEI Y J,TIAN Y.Research on Intuitionistic FuzzyLogic Operators[J].Computer Science,2008,35(11):151-153.(in Chinese) 路艳丽,雷英杰,田野.直觉模糊逻辑算子研究[J].计算机科学,2008,5(11):151-153. [22] DESCHRIJVER G,CORNELIS C, KERRE E E.On the Representation of Intuitionistic Fuzzy t-norms and t-conorms[J].IEEE Trans.on Fuzzy Systems,2004,2(1):45-61. [23] BURILLO P,BUSTINCE H.Intuitionistic Fuzzy Relations(part1) [J].Mathware and Soft Computing,1995,2(1):5-38. |
No related articles found! |
|