Confidential dominance relation based rough approximation model | |
Gou, Guang-Lei1,2,3; Wang, Guo-Yin1,2; Li, Jie2; Wu, Di2 | |
刊名 | Kongzhi yu Juece/Control and Decision |
2014 | |
卷号 | 29期号:7页码:1325-1329 |
ISSN号 | 10010920 |
DOI | 10.13195/j.kzyjc.2013.0554 |
其他题名 | 基于置信优势关系的粗糙集近似模型 |
英文摘要 | Incomplete ordered information processing is a common problem in the real life. Various extended dominance relation rough set models are already proposed to solve the incomplete ordinal decision problem. But there exits some ambivalence over the real semantics because the characteristics of the order relation are not considered. Therefore, the confidence dominance relation and its rough set approximation model are presented. Relationships between the confidential dominance relation based rough set model and existing models are discussed. Compared with the current expansion relations, confidence dominance relation fits the characteristics of the order relation to avoid semantic contradiction. Theorem proving and example analysis show that the confidential dominance relation based rough approximation model has better approximate accuracy and classification accuracy. |
语种 | 中文 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.138/handle/2HOD01W0/4552] |
专题 | 大数据挖掘及应用中心 |
作者单位 | 1.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China; 2.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China; 3.School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China |
推荐引用方式 GB/T 7714 | Gou, Guang-Lei,Wang, Guo-Yin,Li, Jie,et al. Confidential dominance relation based rough approximation model[J]. Kongzhi yu Juece/Control and Decision,2014,29(7):1325-1329. |
APA | Gou, Guang-Lei,Wang, Guo-Yin,Li, Jie,&Wu, Di.(2014).Confidential dominance relation based rough approximation model.Kongzhi yu Juece/Control and Decision,29(7),1325-1329. |
MLA | Gou, Guang-Lei,et al."Confidential dominance relation based rough approximation model".Kongzhi yu Juece/Control and Decision 29.7(2014):1325-1329. |
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