| 序信息系统下的程度可区分关系研究 |
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| 引用本文： | 汪琳娜,杨新.序信息系统下的程度可区分关系研究[J].西华大学学报(自然科学版),2018,37(2):58-63. |
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| 作者姓名： | 汪琳娜 杨新 |
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| 作者单位： | 1.四川工商学院电子信息工程学院，四川 成都 611745 |
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| 基金项目： | 四川省教育厅科研项目15ZB0458 |
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| 摘 要： | 在经典粗糙集中通常运用不可区分关系对知识进行粒化。为解决知识粒化过细带来的分类和决策困难，文章在程度不可区分关系的基础上，讨论了各种可区分关系和不可区分关系的演化机制，提出了基于序信息系统的改进程度可区分关系，进一步刻画对象属性值间的差异程度，最后建立了一种基于程度可区分关系的概率粗糙集模型。
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| 关 键 词： | 粗糙集 序信息系统 程度可区分关系 |
| 收稿时间： | 2017-07-14 |
Grade Discernibility Relation in Ordered Information Systems |
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| WANG Linna,YANG Xin.Grade Discernibility Relation in Ordered Information Systems[J].Journal of Xihua University:Natural Science Edition,2018,37(2):58-63. |
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| Authors: | WANG Linna YANG Xin |
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| Affiliation: | 1.School of Electronic and Information Engineering, Sichuan Technology and Business University, Chengdu 611745 China |
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| Abstract: | In general, the knowledge granularity can be induced by indiscernibility relation based on typical rough sets. In order to overcome the difficulty of classification and decisions caused by more refined knowledge granularity, this paper discussed the evolution mechanism under various indiscernibility and discernibility relation, and proposed the improved grade discernibility relation based on ordered information systems to characterize the difference of grade between object's attribute values based on grade indiscernibility relation. Finally, it introduced a rough probabilistic sets model based on grade discernibility relation. |
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