On knowledge acquisition in multi-scale decision systems

被引：68

作者：

Gu, Shen-Ming ^{[1
]}

Wu, Wei-Zhi ^{[1
]}

机构：

[1] Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316000, Zhejiang, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2013年 / 4卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Decision systems; Granular computing; Granules; Knowledge acquisition; Multi-scale; Rough sets; INFORMATION GRANULATION;

D O I：

10.1007/s13042-012-0115-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The key to granular computing is to make use of granules in problem solving. However, there are different granules at different levels of scale in data sets having hierarchical scale structures. Therefore, the concept of multi-scale decision systems is introduced in this paper, and a formal approach to knowledge acquisition measured at different levels of granulations is also proposed, and some algorithms for knowledge acquisition in consistent and inconsistent multi-scale decision systems are proposed with illustrative examples.

引用

页码：477 / 486

页数：10

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