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
相关论文
共 50 条
  • [1] Information Structures in an Incomplete Interval-Valued Information System
    Jiasheng Zeng
    Zhaowen Li
    Meng Liu
    Shimin Liao
    [J]. International Journal of Computational Intelligence Systems, 2019, 12 : 809 - 821
  • [2] Information Structures in an Incomplete Interval-Valued Information System
    Zeng, Jiasheng
    Li, Zhaowen
    Liu, Meng
    Liao, Shimin
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2019, 12 (02) : 809 - 821
  • [3] Uncertainty Measures in Interval-Valued Information Systems
    Zhang, Nan
    Zhang, Zehua
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, RSKT 2014, 2014, 8818 : 479 - 488
  • [4] Interval-valued fuzzy discernibility pair approach for attribute reduction in incomplete interval-valued information systems
    Dai, Jianhua
    Wang, Zhiyang
    Huang, Weiyi
    [J]. INFORMATION SCIENCES, 2023, 642
  • [5] Knowledge Reduction in Interval-valued Information Systems
    Miao, Duoqian
    Zhang, Nan
    Yue, Xiaodong
    [J]. PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2009, : 320 - 327
  • [6] Measures associated with granularity and rough approximations in interval-valued information tables based on kernel similarity relations
    Ma, Xi-Ao
    [J]. INFORMATION SCIENCES, 2020, 538 : 337 - 357
  • [7] New measures of uncertainty for an interval-valued information system
    Xie, Ningxin
    Liu, Meng
    Li, Zhaowen
    Zhang, Gangqiang
    [J]. INFORMATION SCIENCES, 2019, 470 : 156 - 174
  • [8] Attribute Reduction in an Incomplete Interval-Valued Decision Information System
    Chen, Yiying
    Li, Zhaowen
    Zhang, Gangqiang
    [J]. IEEE ACCESS, 2021, 9 : 64539 - 64557
  • [9] Entropy measures and granularity measures for interval and set-valued information systems
    Wang, Hong
    Yue, Hong-Bo
    [J]. SOFT COMPUTING, 2016, 20 (09) : 3489 - 3495
  • [10] Entropy measures and granularity measures for interval and set-valued information systems
    Hong Wang
    Hong-Bo Yue
    [J]. Soft Computing, 2016, 20 : 3489 - 3495
12345