Local and Global Measurements of MGRS Rules

被引:17
|
作者
Yang, Xibei [1 ]
Zhang, Yanqin [2 ]
Yang, Jingyu [3 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Comp Sci & Engn, Zhengzhou 212003, Jiangsu, Peoples R China
[2] Xuzhou Inst Technol, Sch Econ, Xuzhou 221000, Jiangsu, Peoples R China
[3] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
关键词
Certainty factor; coverage factor; decision rule; multigranulation rough set; support factor; ROUGH SETS; APPROXIMATION; KNOWLEDGE;
D O I
10.1080/18756891.2012.747655
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Since the multigranulation rough sets (MGRS) can be considered as the compositions of multi-independent Pawlak's rough sets, the multigranulation rough set rules (MGRS rules) are then the compositions of decision rules, which are supported by multi-independent Pawlak's rough MGRS rules measure MGRS rules, both the local and global views are employed in this paper. In local view,the support, certainty and coverage factors are proposed to measure MGRS rules, which are support by an object; while in global view, these three factors are proposed to measure MGRS rules,which are coexisting in a decision system. The necessary conditions for these factors to achieve maximal and minimal values are also addressed. Some numerical examples are employed to substantiate the conceptual arguments.
引用
收藏
页码:1010 / 1024
页数:15
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