| On Uncertainty Measure Issues in Rough Set Theory | |
Tang, Jianguo ; Wang, Jianghua; Wu, Chunling; Ou, Guojian
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| 2020 | |
| 发表期刊 | IEEE Access
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| ISSN | 2169-3536 |
| 卷号 | 8页码:91089-91102 |
| 摘要 | Rough set theory is a tool for dealing with uncertainty problems. How to measure the uncertainty of a knowledge is an important issue in the theory. However, the existing uncertainty measures may not accurately reflect the uncertainty degree. This study analyzes the causes of it and explores a reasonable solution to it. Firstly, the existing accuracy models only focuses on some factors related to the target set while neglecting its own important influence on the model. Secondly, since no one gives a clear definition of knowledge uncertainty in approximation space, it is difficult to evaluate the accuracy and rationality of a knowledge uncertainty measure. Thirdly, most uncertain measures of knowledge are constructed based on the structure of knowledge itself, while neglecting other factors in the approximation model. In view of these, we first propose a new accuracy model which fully considers the important role of the target set itself. Second, two definitions of accuracy measure of knowledge are proposed to explain what the uncertainty of a knowledge is. And then, two uncertainty measures of knowledge are proposed and a method for quickly calculating them is designed. At last, an uncertain entropy is constructed for more conveniently calculating of knowledge uncertainty. © 2013 IEEE. |
| 关键词 | Uncertainty analysis Accuracy measures Approximation model Approximation spaces Structure of knowledge Uncertain measures Uncertainty degree Uncertainty measures Uncertainty problems |
| DOI | 10.1109/ACCESS.2020.2992582 |
| 收录类别 | EI ; SCIE |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
| WOS记录号 | WOS:000538727700170 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc., United States |
| EI入藏号 | 20202208771187 |
| EI分类号 | 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 922.1 Probability Theory |
| 原始文献类型 | Journal article (JA) |
| 出版地 | PISCATAWAY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3207 |
| 专题 | 重庆电子科技职业大学 人工智能与大数据学院 |
| 作者单位 | Artificial Intelligence and Big Data College, Chongqing College of Electronic Engineering, Chongqing; 401331, China |
| 第一作者单位 | 重庆电子科技职业大学 |
| 推荐引用方式 GB/T 7714 | Tang, Jianguo,Wang, Jianghua,Wu, Chunling,et al. On Uncertainty Measure Issues in Rough Set Theory[J]. IEEE Access,2020,8:91089-91102. |
| APA | Tang, Jianguo,Wang, Jianghua,Wu, Chunling,&Ou, Guojian.(2020).On Uncertainty Measure Issues in Rough Set Theory.IEEE Access,8,91089-91102. |
| MLA | Tang, Jianguo,et al."On Uncertainty Measure Issues in Rough Set Theory".IEEE Access 8(2020):91089-91102. |
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| Tang-2020-On Uncerta（7467KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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