Knowledge Granularity Measures for Incomplete Interval-Valued Information

被引：0
|
作者：
Dai, Jianhua [1 ]
Yan, Yuejun [1 ]
Shi, Hong [1 ]
机构：
[1] Tianjin Univ, Sch Comp Sci & Technol, Tianjin, Peoples R China
来源：
2017 3RD INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
incomplete interval-valued information systems; dominance relation; entropy; granularity; measure; ROUGH ENTROPY; GRANULATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Interval-valued information systems are generalized models of single-valued information systems. However, there are few studies on incomplete interval-valued data, which exist in many practical issues. In this paper, we propose a dominance relation for incomplete interval-valued information systems. Based on the dominance relation, the concepts of knowledge information entropy, knowledge rough entropy, knowledge granulation, knowledge granularity measure are introduced into incomplete interval-valued information systems, some important properties are discussed, and the relationships among those concepts are studied. Experimental results show that the proposed measures are helpful for evaluating the discernibility ability of knowledge in incomplete interval-valued information systems.
引用
收藏
页码：227 / 231
页数：5
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