Computer Science ›› 2023, Vol. 50 ›› Issue (6): 109-115.doi: 10.11896/jsjkx.220900111
• Granular Computing & Knowledge Discovery • Previous Articles Next Articles
WANG Xia, LI Junyu, WU Weizhi
CLC Number:
[1]WILLE R.Restructuring lattice theory:An approach based onhierarchies of concepts [G]//Ordered Sets.Dordrecht:Reidel,1982:445-470. [2]GANTER B,WILLE R.Formal Concept Analysis:Mathematical Foundations [M]//Berlin:Springer,1999:17-61. [3]ZHANG Q X.The judgment method of consistent sets in decision formal context based on Boolean matrix[J].Journal of Zhangzhou Normal University (Natural Sciences),2012,25(1):22-25. [4]LI T J,WANG X,XU Y H.Boolean computation approach of formal concepts[J].Journal of Nanjing University(Natural Sciences),2013,49(5):553-560. [5]SHI H,WEI L.Boolean expression of object (property)-oriented concept lattice[J].Journal of Nanjing University (Natural Sciences),2015,51(2):415-420. [6]SHAO M W,LIU M,GUO L.Vector-based attribute reduction method for formal contexts[J].Fundamenta Informaticae,2013,126(4):397-414. [7]SHI H.Boolean expression and attriute reduction of object(property)-oriented concept lattice [D].Xi'an:Northwest University,2015. [8]WANG D L.Attribute reduction for concept lattice with matrix[J].Computer Applications,2009,31(6):28-32. [9]WANG D L.Knowledge reduction algorithm based on elementaryrow transformation of Boolean matrix[J].Computer Applications,2007(9):2267-2269. [10]WAN Q,MA Y C,YANG X F.The reduction of formal context based on Boolean matrix[J].Basic Sciences Journal of Textile Universities,2019,32(1):67-72. [11]ZHANG C L,LI J J,LIN Y D.Matrix-type attribute reduction for inconsistent formal decision contextS[J].Journal of Frontiers of Computer Science and Technology,2020,14(3):534-540. [12]ZHANG C L.Research on matrix approach to attribute reduction in concept lattice model [D].Zhangzhou:Minnan Normal University,2021. [13]LIN Y D,LI J J,ZHANG C L.Attribute reductions of fuzzy-crisp concept lattices based on matrix[J].Pattern Recognition and Artificial Intelligence,2020,33(1):21-31. [14]HUAND Q.Attribute reduction approach to an ordered information system based on boolean matrix [D].Xi'an:Northwest University,2016. [15]ZHANG Q X.Attribute reduction method for concept lattice based on Boolean matrices [D].Zhangzhou:Zhangzhou Normal University,2012. [16]TRNECKA M,VYJIDACEK R.Revisiting the GreCon algorithm for Boolean matrix factorization[C]//Proceedings of the 15th International Conference on Concept Lattices and Their Applications.2020:59-70. [17]TRNECKA M,TRNECKOVA M.Data reduction for boolean matrix factorization algorithms based on formal concept analysis[J].Knowledge-Based Systems,2018,158:75-80. [18]LEHMANN F,WILLE R.A triadic approach to formal concept analysis[C]//Proceeding of the 3rd International Conference on Conceptual Structures Applications,Implementation and Theory.Berlin:Springer,1995:32-43. [19]WILLE R.The basic theorem of triadic concept analysis[J].Order,1995,12(2):149-158. [20]BIEDERMANN K.Triadic Galois connections [G]//General Algebra and Applications in Discrete Mathematics.Aachen:ShakerVerlag,1997:23-33. [21]BIEDERMANN K.An equational theory for trilattices[J].Algebra Universalis,1999,42(4):253-268. [22]GROH B,WILLE R.Lattices of triadic concept graphs[C]//Proceeding of the 8th International Conference on Conceptual Structures.Berlin:Springer,2000:332-341. [23]BIEDERMANN K.How triadic diagrams represent conceptualstructures[C]//Proceeding of the 5th International Conference on Conceptual Structures Fulfilling Peirce's Dream.Berlin:Springer,1997:304-317. [24]GANTER B,OBIEDKOV S A.Implications in triadic formalcontexts[C]//Proceeding of the 12th International Conference on Conceptual Structures.Berlin:Springer,2004:186-195. [25]MISSAOUI R,KWUIDA L.Mining triadic association rulesfrom ternary relations[C]//Proceeding of the 9th International Conference on Formal Concept Analysis.Berlin:Springer,2011:204-218. [26]DAU F,WILLE R.On the modal understanding of triadic context [G]//Classification and Information Processing at the Turn of the Millennium.Berlin:Springer,2000:83-94. [27]JASCHKE R,HOTHO A,SCHMITZ C,et al.TRIAS-an algorithm for mining iceberg trilattices[C]//Proceeding of the 6th International Conference on Data Mining.Piscataway,NJ:IEEE,2006:907-911. [28]KAVTOUE M,KUZNETSOV S,MACKO J,et al.Minging biclusters of similar values with triadic concept analysis[C]//Proceeding of the 8th International Conference on Concept Lattices and Their Applications.Berlin:Springer,2011:175-190. [29]KAYTOUE M,KUZNETSOV S O,MACKO J,et al.Bicluste-ring meets triadic concept analysis[J].Annals of Mathematics and Artificial Intelligence,2014,70(1/2):55-79. [30]BELOHLAVEK R,VYCHODIL V.Optimal factorization ofthree-way binary data[C]//Proceeding of 2010 IEEE International Conference on Granular Computing.Piscataway,NJ:IEEE,2010:61-66. [31]GLODEANU C.Factorization methods of binary,triadic,realand fuzzy data[J].Studia Universitatis Babes-Bolyai Series Informatica,2011,56 (2):81-86. [32]BELOHLAVEK R,GLODEANU C,VYCHODIL V.Optimalfactorization of three-way binary data using triadic concepts[J].Order,2013,30(2):437-454. [33]CYNTHIA G.Tri-ordinal factor analysis[C]//Proceeding of the 11th International Conference on Formal Concept Analysis.Berlin:Springer,2013:125-140. [34]BELOHLAVEK R,OSICKA P.Triadic concept analysis of data with fuzzy attributes[C]//Proceeding of 2010 IEEE International Conference on Granular Computing.Piscataway,NJ:IEEE,2010:661-665. [35]BELOHLAVEK R,OSICKA P.Triadic concept lattices of data with graded attributes[J].International Journal of General System,2012,41(2):93-108. [36]KONECNY J,OSICAKA P.Triadic concept lattices in theframework of aggregation structures[J].Information Sciences,2014,279(1):512-527. [37]GLODEANU C.Fuzzy-Valued triadic implications [C]//Proceeding of the 7th International Conference on Concept Lattices and Their Applications.2011:159-173. [38]BELOHLAVEK R,OSICKA P.Triadic fuzzy Galois connections as ordinary connections[J].Fuzzy Sets and Systems,2014,249:83-99. [39]TANG Y Q,FAN M,LI J H.Cognitive system model and approach to transformation of information granules under triadic formal concept analysis[J].Journal of Shandong University:Natural Science,2014,49(8):102-106. [40]QI J J,WEI L.Simplification of triadic contexts and concept trilattices[J].Computer Science,2017,44(9):53-57. [41]WANG X,ZHANG Q,LI J Y,et al.Triadic concept analysis based on rough set theory[J].Journal of Northwest University:Natural Science Edition,2017,52(7):37-43. [42]KUMAR C A,MOULISWARAN S C,LI J H,et al.Role based access control design using triadic concept analysis[J].Journal of Central South University,2016,23(12):3183-3191. [43]LI Z,ZHANG Z,WANG L M.Research text classification algorithm based on triadic concept analysis[J].Computer Science,2017,44(8):207-215. [44]WANG X,JIANG SH,LI J Y,et al.A construction method of triadic concepts[J].Journal of Computer Research and Development,2019,56(4):844-853. [45]WANG X,QUAN Y,LI J Y,et al.Incremental constructionmethod of triadic concepts[J].Journal of Nanjing University(Natural Sciences),2022,58(1):19-28. |
[1] | LI Yan, GUO Na-na, WU Ting-ting, ZHAN Yan. Attribute Reduction Based on Concentration Boolean Matrix under Dominance Relations [J]. Computer Science, 2018, 45(10): 229-234. |
[2] | LI Yan, GUO Na-na and ZHAO Hao. Attribute Reduction Based on Variable Precision Rough Sets and Concentration Boolean Matrix [J]. Computer Science, 2017, 44(Z6): 70-74. |
[3] | QI Jian-jun and WEI Ling. Simplification of Triadic Contexts and Concept Trilattices [J]. Computer Science, 2017, 44(9): 53-57. |
[4] | LI Zhen, ZHANG Zhuo and WANG Li-ming. Research on Text Classification Algorithm Based on Triadic Concept Analysis [J]. Computer Science, 2017, 44(8): 207-215. |
[5] | HUANG Jian, LI Ming-qi and GUO Wen-qiang. Reseach on Improved Apriori Algorithm Based on Hadoop [J]. Computer Science, 2017, 44(7): 262-266. |
[6] | ZHANG Xiao-ru ,ZHANG Zai-yue (School of Electronics and Information,Jiangsu University of Sci. &Tech ,Zhenjiang,Jiangsu 212003,China). [J]. Computer Science, 2008, 35(9): 206-209. |
|