Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 342-348.doi: 10.11896/jsjkx.201000053
• Intelligent Computing • Previous Articles Next Articles
LI Yan1,2, FAN Bin2, GUO Jie2, LIN Zi-yuan1, ZHAO Zhao1
CLC Number:
[1] PAWLAK Z.Rough sets[J].International Journal of Information & Computer Sciences,1982,11(3):289-296. [2] PAWLAK Z.Rough sets:Theoretical Aspects of Reasoning about Data[M].Boston:Kluwer Academic Publishers,1991. [3] SKOWRON A,RAUSZER C.The discernibility matrices andfunctions in information systems[M].Dordrecht:Springer,1992:331-362. [4] KRYZKIEWICZ M.Comparative study of alternative types of knowledge reduction in inconsistent systems [J].International Journal of Intelligent Systems,2001,16(1):105-120. [5] CHEN J,WANG G Y,HU J.Positive Domain Reduction Based on Dominance Relation in Inconsistent System[J].Computer Science,2008,35(3):216-218,227. [6] LIU G,FENG Y,YANG J.A common attribute reduction form for information systems[J].Knowledge-Based Systems,2020,193:105466. [7] GRECO S,MATARAZZO B,SLOWINSKI R.Rough sets theory for multicriteria decision analysis[J].European Journal of Operational Research,2001,129(1):1-47. [8] GRECO S,MATARAZZO B,SLOWINSKI R.Rough approxi-mation by dominance relations[J].International Journal of Intelligent Systems,2002,17(2):153-171. [9] CAO B R,LIU Y.Variable Precision Rough Set Model Based on Set Pair Situation Dominance Relationship[J].Computer Engineering,2015,41(11):35-40. [10] LI Y,ZHANG L,WANG X J,et al.Attribute Reduction for Sequential Three-way Decisions Under Dominance-Equivalence Relations[J].Computer Science,2019,46(2):242-248. [11] ANDERBERG M R.Cluster Analysis for Applications[M].New York:Academic Press,1973. [12] SUN J G,LIU J,ZHAO L Y.Clustering algorithms research[J].Journal of Software,2008,19(1):48-61. [13] LIU Y H,MA H F,LIU H J,et al.An overlapping subspace K-Means clustering algorithm[J].Computer Engineering,2020,46(8):58-63. [14] HUANG Z.Extensions to the K-means algorithm for clustering large data sets with categorical values[J].Data Mining and Knowledge Discovery,1998,2(3):283-304. [15] HUANG Z,NG M.Fuzzy K-modes algorithm for clusteringcategorical data[J].IEEE Transactions on Fuzzy Systems,1999,7(4):446-452. [16] CHEN Y,SONG J J,YANG X B.Accelerator for finding reduct based on attribute group[J].Journal of Nanjing University of Science and Technology,2020,44(2):216-223. [17] CHEN Y,ZENG D S,XIE C.A Method of Attribute Reduction Based on Clustering[J].Computer Systems Applications,2009,18(5):173-176. [18] LU J,ZHANG T,REN H L.Reduction of attribute in decision table based on clustering rate[J].Computer Engineering and Application,2012(28):135-138,233. [19] CHEN Y C,LI O,SUN Y.Attribute reduction based on clustering discretization and variable precision neighborhood entropy[J].Control and Decision,2018,33(8):1407-1414. [20] ZIARKO W.Variable precision rough set model[J].Journal of Computer and System Sciences,1993,46(1):39-59. [21] UCI Machine Learning Repository[OL].https://archive.ics.uci.edu/ml/index.php. |
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