[1] Wille R. Restructuring lattice theory: an approach based on hierarchies of concepts[C] // Ordered Sets. Dordrecht: Springer Netherlands, 1982:445-470. DOI:10.1007/978-94-009-7798-3_15. [2] Wille R. Boolean concept logic[C] // International Conference on Conceptual Structures. Heidelberg: Springer-Verlag, 2000: 317-331.DOI:10.1007/10722280_22. [3] Chunduri R K, CHERUKURI A K. Distributed three-way formal concept analysis for large formal contexts[J]. J Parallel Distrib Comput, 2023, 171: 141-156. DOI:10.1016/j.jpdc.2022.09.011. [4] Zhi H L, Qi J J. Common-possible concept analysis: a granule description viewpoint[J]. Appl Intell, 2022,52(3): 2975-2986. DOI:10.1007/s10489-021-02499-9. [5] 毛华,刘谦,连萌璇,等.地下工程岩体质量评判的三支决策方法[J].河北大学学报(自然科学版), 2023,43(3):330-336.DOI: 10.3969/j.issn.1000-1565.2023.03.014. [6] Aranda-Ccorral G A, Borrego-DíAZ J, GALáN-PáEZ J. Concept learning consistency under three-way decision paradigm[J]. Int J Mach Learn Cybern, 2022, 13(10): 2977-2999. DOI:10.1007/s13042-022-01576-w [7] Niu D Y, Mi J S. Three-way concept lattice based on Boolean formal context[J]. Int J Approx Reason, 2024, 175: 109286. DOI:10.1016/j.ijar.2024.109286. [8] Mao H, Ma J Z, Niu Z H. Two new kinds of protoconcepts based on three-way decisions model[J]. Soft Comput, 2023, 27(17): 11973-11984. DOI:10.1007/s00500-023-08840-3. [9] Mao H, Cheng Y L, LIU X Q. Three-way preconcept and two forms of approximation operators[J]. Soft Comput, 2022, 27(2): 855-865. DOI:10.1007/s00500-022-07532-8. [10] 毛华,郑珍,刘晓庆.一种决策形式背景中挖掘决策规则的新方法[J].河北大学学报(自然科学版),2021,41(1):1-6. DOI: 10.3969/j.issn.1000-1565.2021.01.001. [11] 毛华,胥德华,刘川,等.单边区间集模糊半概念的知识表示及提取方法[J].智能系统学报, 2024, 19(4):1016-1026.DOI: 10.11992/tis.202304057. [12] GégéNy D, Kovács L, Radeleczki S. Semiconcept and concept representations[J]. Knowl Based Syst, 2024, 305: 112579. DOI:10.1016/j.knosys.2024.112579. [13] Wang S W, Li Q G. A representation of L-domain by formal concept analysis[J]. Soft Comput, 2022, 26(19): 9751-9760.DOI:10.1007/s00500-022-07326-y. [14] Mao H, Wang S Y, Liu C, et al. Hypergraph-based attribute reduction of formal contexts in rough sets[J]. Expert Syst Appl, 2023, 234: 121062. DOI:10.1016/j.eswa.2023.121062. [15] 毛华,刘畅,袁晓垒,等.基于概念格层面的知识提取方法及应用[J].华中科技大学学报(自然科学版), 2024,52(11):37-42.DOI:10.13245/j.hust.241105. [16] 闫梦宇,李金海,刘文海,等.带对象结构信息形式背景的概念知识发现与演化[J].电子学报, 2023,51(1):11-17.DOI:10.12263/DZXB.20211559. [17] Qi J J, Qian T, Wei L.The connections between three-way and classical concept lattices[J]. Knowl Based Syst, 2016, 91: 143-151. DOI:10.1016/j.knosys.2015.08.006. [18] Zhai Y H, Qi J J, Li D Y, et al. The structure theorem of three-way concept lattice[J]. Int J Approx Reason, 2022, 146: 157-173. DOI:10.1016/j.ijar.2022.04.007. [19] 崔勇,张小平.图论与代数结构[M].第2版.北京: 清华大学出版社, 2022. [20] 王杰,杨贤灿,赵兴旺. 基于超图网络嵌入的蛋白质复合体识别算法[J].计算机科学, 2025, 52(12):102-114.DOI:10.11896/jsjkx.250900062. [21] 应允翔,胡志文,吴婉楠,等.基于Dijkstra算法的巡检路径优化有效性分析[J].中国科技信息, 2025, 23: 85-87. [22] 耿德志,李俊丽.复杂传感网络边聚类数据集成化挖掘方法研究[J].传感技术学报, 2025, 38(11): 2100-2106. [23] 李尚往,缪裕青,刘同来,等.基于超图学习与成对跨模态融合的多模态对话情绪识别[J].计算机应用研究, 2025, 43(2).DOI:10.19734/j.issn.1001-3695.2025.07.0233. [24] 姚卫,路玲霞.序与格论基础[M].北京: 清华大学出版社, 2023. [25] Davey B A, Priestley H A. Introduction to lattices and order[M]. New York: Cambridge University Press, 2002.DOI:10.1017/CBO9780511809088. ( |