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International journal of approximate reasoning, 2012, 53 ( 7): 1080 - 1093. [35] XU Weihua, WANG Qiaorong, ZHANG Xiantao. Multi⁃ granulation rough sets based on tolerance relations[J]. Soft computing, 2013, 17(7): 1241-1252. [36]Chen Yan. An adjustable multigranulation fuzzy rough set [J]. International journal of machine learning and cyber⁃ netics, 2016, 7 (2): 267-274. [37]TAN Anhui, WU Weizhi, LI Jinjin, et al. Evidence⁃theo⁃ ry⁃based numerical characterization of multigranulation rough sets in incomplete information systems [ J]. Fuzzy sets and systems, 254 (2016):18-35. [38]LI Feijiang, QIAN Yuhua, WANG Jieting et al. Multigran⁃ ulation information fusion: a dempster⁃shafer evidence the⁃ ory⁃based clustering ensemble method[J]. Information sci⁃ ences, 2017, 378: 389-409. [39]WU Weizhi, LEUNG Y. Optimal scale selection for multi⁃ scale decision tables[ J]. International journal of approxi⁃ mate reasoning, 2013, 54(8): 1107-1129. [40]GU Shenming, WU Weizhi. On knowledge acquisition in multi⁃scale decision systems [ J]. International journal of machine learning and cybernetics, 2013, 4(5): 477-486. [41]ZHU W. Topological approaches to covering rough sets[J]. Information sciences, 2007, 177(6): 1499-1508. [42]ZHU W, WANG Feiyue. On three types of covering⁃based rough sets[ J]. IEEE transactions on knowledge and data engineering, 2007, 19(8): 1131-1144. [43]ZHU W. Relationship between generalized rough sets based ·754· 智 能 系 统 学 报 第 11 卷
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