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| 多粒度粗糙集的双层绝对约简* | |
| 引用本文： | 邓大勇,黄厚宽.多粒度粗糙集的双层绝对约简*[J].模式识别与人工智能,2016,29(11):969-975. |
| 作者姓名： | 邓大勇 黄厚宽 |
| 作者单位： | 1.浙江师范大学 行知学院 金华 321004 2.北京交通大学 计算机与信息技术学院 北京100044 |
| 基金项目： | 国家自然科学基金项目(No.61572442,61473030)、浙江省自然科学基金项目(No.LY15F020012)资助 |
| 摘 要： | 多粒度粗糙集本质上是异构的，但是目前尚未运用于异构数据处理.从绝对约简的角度出发，提出多粒度粗糙集的双层绝对约简——多粒度绝对约简和多粒度绝对粒度约简.分析多粒度双层绝对约简的性质，特别是从异构数据约简的角度探究多粒度双层绝对约简的特性，提出多粒度双层绝对约简算法.理论分析和实例表明多粒度双层绝对约简算法的可行性. |
| 关 键 词： | 粗糙集 多粒度粗糙集 异构数据 绝对约简 双层绝对约简 |
| 收稿时间： | 2016-07-25 |
Double-Level Absolute Reduction for Multi-granulation Rough Sets |
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| DENG Dayong,HUANG Houkuan.Double-Level Absolute Reduction for Multi-granulation Rough Sets[J].Pattern Recognition and Artificial Intelligence,2016,29(11):969-975. | |
| Authors: | DENG Dayong HUANG Houkuan |
| Affiliation: | 1.Xingzhi College, Zhejiang Normal University, Jinhua 321004 2.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044 |
| Abstract: | Multi-granulation rough set is a rough set model for heterogenous data in essence. However, it is still not employed to deal with heterogenous data. From the viewpoints of absolute attribute reduction, double-level absolute reduction for multi-granulation rough sets is proposed, including multi-granulation absolute recducts and multi-granulation absolute granulation reducts, and properties of double-level absolute reduction are analyzed from the perspective of heterogenous data. The algorithms for double-level absolute reduction are presented. Theoretical analysis and example show the validation of multi-granulation absolute reducts, multi-granulation absolute granulation reducts and double-level absolute reducts. |
| Keywords: | Rough Set Multi-granulation Rough Set Heterogenous Data Absolute Reduction Double-Level Absolute Reduction |
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