JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2025, Vol. 60 ›› Issue (7): 131-142.doi: 10.6040/j.issn.1671-9352.0.2024.187
LI Xinru, LI Lingqiang*, JIA Chengzhao
CLC Number:
[1] ZADEH L A. Fuzzy sets[J]. Information and Control, 1965, 8(3):338-353. [2] PAWLAK Z. Rough set[J]. International Journal of Computer and Information Sciences, 1982, 11:341-356. [3] WANG Changzhong, HU Qinghua, WANG Xizhao, et al. Feature selection based on neighborhood discrimination index[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017, 29(7):2986-2999. [4] CAO Junqin, ZHANG Xueying, ZHANG Chunmei, et al. Improved convolutional neural network combined with rough set theory for data aggregation algorithm[J]. Journal of Ambient Intelligence and Humanized Computing, 2020, 11:647-654. [5] 宋苏洋,叶军,曾广财,等. 基于优化可辨识矩阵的多粒度粗糙集属性约简算法[J]. 山东大学学报(理学版),2024,59(5):52-62. SONG Suyang, YE Jun, ZENG Guangcai, et al. Multi-granularity rough set attribute reduction algorithm based on optimized discernibility matrix[J]. Journal of Shandong University(Natural Science), 2024, 59(5):52-62. [6] 王莉. 随机多属性子空间的ReliefF加权邻域粗糙集与属性约简[J]. 计算机工程与应用,2024,60(8):69-77. WANG Li. ReliefF weighted neighborhood rough sets and attribute reduction based on random multi-attribute subspaces[J]. Journal of Computer Engineering and Applications, 2024, 60(8):69-77. [7] JIA Fan, LIU Peide. A novel three-way decision model under multiple-criteria environment[J]. Information Sciences, 2019, 471:29-51. [8] BAI Juncheng, SUN Bingzhen, CHU Xiaoli, et al. Neighborhood rough set-based multiattribute prediction approach and its application of gout patients[J]. Applied Soft Computing, 2022, 114:108127. [9] ZIARKO W. Variable precision rough set model[J]. Journal of Computer and System Sciences, 1993, 46(1):39-59. [10] YAO Yanqing, MI Jusheng, LI Zhoujun. A novel variable precision(θ,σ)-fuzzy rough set model based on fuzzy granules[J]. Fuzzy Sets and Systems, 2014, 236:58-72. [11] WANG Chunyong, HU Baoqing. Granular variable precision fuzzy rough sets with general fuzzy relations[J]. Fuzzy Sets and Systems, 2015, 275:39-57. [12] LI Wei, YANG Bin, QIAO Junsheng. (O,G)-granular variable precision fuzzy rough sets based on overlap and group functions[J]. Computational and Applied Mathematics, 2023, 42(3):1-30. [13] ZOU Dandan, XU Yaoliang, LI Lingqiang, et al. Novel variable precision fuzzy rough sets and three-way decision model with three strategies[J]. Information Sciences, 2023, 629:222-248. [14] QIAN Yuhua, LIANG Jiye, YAO Yiyu, et al. MGRS: a multi-granulation rough set[J]. Information Sciences, 2010, 180(6):949-970. [15] ZHAN Jianming, ZHANG Kai, LIU Peide, et al. A novel group decision-making approach in multi-scale environments[J]. Applied Intelligence, 2023, 53(12):15127-15146. [16] JU Hengrong, DING Weiping, SHI Zhenquan, et al. Attribute reduction with personalized information granularity of nearest mutual neighbors[J]. Information Sciences, 2022, 613:114-138. [17] JIANG Deng, ZHAN Jianming, XU Zeshui, et al. Regret-theoretic multi-attribute decision-making model using three-way framework in multi-scale information systems[J]. IEEE Transactions on Cybernetics, 2023, 53(6):3988-4001. [18] SUN Bingzhen, ZHANG Xinrui, QI Chang, et al. Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multiattribute group decision making[J]. International Journal of Approximate Reasoning, 2022, 151:1-20. [19] 郑文彬,李进金,张燕兰. 基于矩阵的可变粒度变精度邻域粗糙集近似集更新方法[J]. 模糊系统与数学,2022,36(1):97-109. ZHENG Wenbin, LI Jinjin, ZHANG Yanlan. Matrix-based approaches for updating approximations in variable granulation variable precision neighborhood multigranulation rough sets while neighborhood classes decreasing[J]. Fuzzy Systems and Mathematics, 2022, 36(1):97-109. [20] YE Jin, SUN Bingzhen, ZHAN Jianming, et al. Variable precision multi-granulation composite rough sets with multidecision and their applications to medical diagnosis[J]. Information Sciences, 2022, 615:293-322. [21] MI J S, YEE L, ZHAO H Y, et al. Generalized fuzzy rough sets determined by a triangular norm[J]. Information Sciences, 2008, 178(16):3203-3213. [22] HÖHLE U, RODABAUGH S E. Mathematics of fuzzy sets: logic, topology, and measure theory[M]. Boston: Kluwer Academic Publishers, 1999. |
[1] | HUA Youlin, SHAO Yabin, ZHU Xueqin. Multi-granularity support vector regression algorithm based on granular ball computing [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2025, 60(7): 104-115. |
[2] | WU Xinyao, XU Ji. Hierarchical graph representation learning based on graphical mutual information pooling [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2025, 60(7): 84-93. |
[3] | Qian WANG,Xianyong ZHANG. Incomplete neighborhood weighted multi-granularity decision-theoretic rough sets and three-way decision [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(9): 94-104. |
[4] | WU Fan, KONG Xiangzhi. Fuzzy β-covering rough set model based on fuzzy information system [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(5): 10-16. |
[5] | YU Peng, LI Ranran. (N,U)-implication: a kind of new fuzzy implication constructed by uninorms and fuzzy negation [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2023, 58(5): 1-9. |
[6] | QIAN Jin, TANG Da-wei, HONG Cheng-xin. Research on multi-granularity hierarchical sequential three-way decision model [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(9): 33-45. |
[7] | FAN Min, LUO Shan, LI Jin-hai. Cognition of network concepts based on variable precision possibility operator [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(8): 1-12. |
[8] | SUN Wen-xin, LIU Yu-feng. Generalized multi-granularity rough sets based on parameter granular [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(5): 11-19. |
[9] | LI Xing-yu, DUAN Jing-yao. Intuitionistic similarity based on triangular norms and its application [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2022, 57(4): 37-47. |
[10] | LI Jin-hai, HE Jian-jun, WU Wei-zhi. Optimization of class-attribute block in multi-granularity formal concept analysis [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2020, 55(5): 1-12. |
[11] | HAO Xiu-mei, LIU Ji-qin. Cut sets of outer P-fuzzy sets and extended rough sets models [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2020, 55(10): 1-6. |
[12] | YU Jun-hong, ZHOU Hong-jun. (T,N)-implication and its basic properties [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2017, 52(11): 71-81. |
[13] | LI Ling-qiang, LI Qing-guo. The characterizations of lattice-valued fuzzy lower approximation operators by a unique axiom [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2014, 49(10): 78-82. |
[14] | LU Qing-ping1, SU Shou-bao1,2*, YU Shu-hao1,3,4, YANG Liu1. An expanded RBAC model of multi-granularity based on trust hierarchies [J]. J4, 2013, 48(7): 51-55. |
[15] | LU Xiao-yun1, YANG Yong 2. A one-direction S-fuzzy rough set and its application [J]. J4, 2011, 46(8): 110-113. |
|