Computer Science ›› 2023, Vol. 50 ›› Issue (6): 122-130.doi: 10.11896/jsjkx.220800109
• Granular Computing & Knowledge Discovery • Previous Articles Next Articles
LIU Jin1, MI Jusheng1,2, LI Zhongling1,2,3, LI Meizheng4
CLC Number:
[1]WILLE R.Restructuring Lattice Theory:An Approach Based on Hierarchies of Concepts [M].Ordered Sets,1982:445-470. [2]GANTER B,WILLE R.Formal Concept Analysis:Mathematical Foundations [M].Berlin,Heidelberg:Springer,1999. [3]MI J S,CHEN J K.Graph-based approaches for attribute reduction in Rough sets [J].Journal of Northwest University(Natural Science Edition),2019,49(4):508-516. [4]ZHI H L,QI J J.Common-possible concept analysis:A granule description viewpoint [J].Applied Intelligence,2021,52(3):2975-2986. [5]ZHI H L,QI J J,QIAN T,et al.Conflict analysis under one-vote veto based on approximate three-way concept lattice [J].Information Sciences,2020,516:316-330. [6]LIAW T M,LIN S C.A general theory of concept lattice with tractable implication exploration [J].Theoretical Computer Science,2020,837:84-114. [7]YAO Y Y.Three-way decisions with probabilistic rough sets[J].Information Sciences,2009,180(3):341-353. [8]HAO F,YANG Y X,MIN G Y,et al.Incremental construction of three-way concept lattice for knowledge discovery in social networks [J].Information Science,2021,578:257-280. [9]YANG S C,LU Y N,JIA X Y,et al.Constructing three-wayconcept lattice based on the composite of classical lattices [J].International Journal of Approximate Reasoning,2020,121:174-186. [10]YAO Y Y.Interval sets and three-way concept analysis in incomplete contexts [J].International Journal of Machine Learning and Cybernetics,2017,8(1):3-20. [11]WANG Z,WEI L,QI J J,et al.Attribute reduction of SE-ISI concept lattices for incomplete contexts [J].Soft Computing,2020,24(20):15143-15158. [12]QI J J,QIAN T,WEI L.The connections between three-way and classical concept lattices [J].Knowledge-Based Systems,2016,91:143-151. [13]MAO H,ZHAO S F,YANG L Z.Relationships between three-way concepts and classical concepts [J].Journal of Intelligent & Fuzzy Systems,2018,35(1):1063-1075. [14]ZHAO X R,MIAO D Q,HU B Q.On relationship between three-way concept lattices [J].Information Sciences,2020,538:396-414. [15]LONG B H,XUW H.Fuzzy three-way concept analysis and fuzzy three-way concept lattice [J].Journal of Nanjing University(Natural Science),2019,55(4):537-545. [16]MAO H,CHENG Y L,LIU X Q.The relations between Fuzzy Three-way Concept Lattices and Fuzzy Concept Lattices [J].Fuzzy Systems and Mathematics,2020,34(6):167-174. [17]SKOWRON A,RAUSZER C.The Discernibility Matrices andFunctions in Information Systems [M]//Intelligent Decision Support.1992. [18]KONECNY J.On attribute reduction in concept lattices:Methods based on discernibility matrix are outperformed by basic clarification and reduction [J].Information Sciences,2017,415:199-212. [19]WANG X,PENG Z H,LI J Y,et al.Method of Concept Reduction Based on Concept Discernibility Matrix [J].Computer Science,2021,48(1):125-130. [20]WEI L,CAO L,QI J J,et al.Concept reduction and conceptcharacteristics in formal concept analysis [J].SCIENTIA SINICA Informationis,2020,50(12):1817-1833. [21]REN R S,WEI L.The attribute reductions of three-way concept lattices [J].Knowledge- Based Systems,2016,99:92-102. [22]MA J M,ZHANG W X.Axiomatic characterizations of dualconcept lattices [J].International Journal of Approximate Reasoning,2013,54(5):690-697. [23]JIANG S R,YANG H Q,MI J S.Attribute Reduction in Dual Concept Lattices [J].Journal of Frontiers of Computer Science and Technology,2015,9(4):501-506. [24]GUO Q C,MA J M.Judgment Methods of Interval-set Consistent Sets of Dual Interval-set Concept Lattices [J].Computer Science,2020,47(3):98-102. [25]ZHI H L,QI J J,QIAN T,et al.Three-way dual concept analysis [J].International Journal of Approximate Reasoning,2019,114:151-165. [26]YAO Y Y.A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis[C]//Rough Sets and Current Trends in Computing.2004:59-68. |
[1] | MA Wensheng, HOU Xilin. Same Effect Relation and Concept Reduction in Formal Concept Analysis [J]. Computer Science, 2023, 50(4): 63-76. |
[2] | WANG Zi-yin, LI Lei-jun, MI Ju-sheng, LI Mei-zheng, XIE Bin. Attribute Reduction of Variable Precision Fuzzy Rough Set Based on Misclassification Cost [J]. Computer Science, 2022, 49(4): 161-167. |
[3] | LI Yong-hong, WANG Ying, LI La-quan, ZHAO Zhi-qiang. Application of Improved Feature Selection Algorithm in Spam Filtering [J]. Computer Science, 2022, 49(11A): 211000028-5. |
[4] | LI Yan, FAN Bin, GUO Jie, LIN Zi-yuan, ZHAO Zhao. Attribute Reduction Method Based on k-prototypes Clustering and Rough Sets [J]. Computer Science, 2021, 48(6A): 342-348. |
[5] | SHEN Xia-jiong, YANG Ji-yong, ZHANG Lei. Attribute Exploration Algorithm Based on Unrelated Attribute Set [J]. Computer Science, 2021, 48(4): 54-62. |
[6] | WEN Xin, YAN Xin-yi, CHEN Ze-hua. Minimal Optimistic Concept Generation Algorithm Based on Equivalent Relations [J]. Computer Science, 2021, 48(3): 163-167. |
[7] | WANG Xia, PENG Zhi-hua, LI Jun-yu, WU Wei-zhi. Method of Concept Reduction Based on Concept Discernibility Matrix [J]. Computer Science, 2021, 48(1): 125-130. |
[8] | ZENG Hui-kun, MI Ju-sheng, LI Zhong-ling. Dynamic Updating Method of Concepts and Reduction in Formal Context [J]. Computer Science, 2021, 48(1): 131-135. |
[9] | SANG Bin-bin, YANG Liu-zhong, CHEN Hong-mei, WANG Sheng-wu. Incremental Attribute Reduction Algorithm in Dominance-based Rough Set [J]. Computer Science, 2020, 47(8): 137-143. |
[10] | YUE Xiao-wei, PENG Sha and QIN Ke-yun. Attribute Reduction Methods of Formal Context Based on ObJect (Attribute) Oriented Concept Lattice [J]. Computer Science, 2020, 47(6A): 436-439. |
[11] | CHEN Yi-ning,CHEN Hong-mei. Attribute Reduction of Fuzzy Rough Set Based on Distance Ratio Scale [J]. Computer Science, 2020, 47(3): 67-72. |
[12] | XU Yi,TANG Jing-xin. Attribute Reduction Algorithm Based on Optimized Discernibility Matrix and Improving Discernibility Information Tree [J]. Computer Science, 2020, 47(3): 73-78. |
[13] | HOU Cheng-jun,MI Ju-sheng,LIANG Mei-she. Attribute Reduction Based on Local Adjustable Multi-granulation Rough Set [J]. Computer Science, 2020, 47(3): 87-91. |
[14] | YANG Wen-jing,ZHANG Nan,TONG Xiang-rong,DU Zhen-bin. Class-specific Distribution Preservation Reduction in Interval-valued Decision Systems [J]. Computer Science, 2020, 47(3): 92-97. |
[15] | GUO Qing-chun,MA Jian-min. Judgment Methods of Interval-set Consistent Sets of Dual Interval-set Concept Lattices [J]. Computer Science, 2020, 47(3): 98-102. |
|