|
|||||
|
|
| 可调节模糊粗糙集:模型与属性约简 | |
| 引用本文： | 宋晶晶,杨习贝,戚湧,祁云嵩.可调节模糊粗糙集:模型与属性约简[J].计算机科学,2014,41(12):183-188. |
| 作者姓名： | 宋晶晶 杨习贝 戚湧 祁云嵩 |
| 作者单位： | 1. 江苏科技大学计算机科学与工程学院 镇江212003 2. 江苏科技大学计算机科学与工程学院 镇江212003;人工智能四川省重点实验室 自贡643000;高维信息智能感知与系统教育部重点实验室 南京210094 3. 南京理工大学经济管理学院 南京210094 |
| 基金项目： | 本文受国家自然科学基金(61100116,9),江苏省自然科学基金(BK2011492,BK2012700,BK20130471),高维信息智能感知与系统教育部重点实验室(南京理工大学)开放基金(30920130122005),人工智能四川省重点实验室开放基金重点课题(2013RYJ03),江苏省高校自然科学基金(13KJB520003,3KJD520008)资助 |
| 摘 要： | 模糊粗糙集是经典粗糙集为适应实际应用需求所进行的拓展,然而目前很多的模糊粗糙集模型都仅仅使用多个二元关系的简单融合方式,不具备调节功能。为解决这一问题,使用参数化的二元算子,提出了一种可调节的模糊粗糙集模型。在此基础上,将近似质量作为度量标准,使用启发式算法来求解可调节模糊粗糙集的约简。最后对可调节模糊粗糙集的近似质量和约简与强模糊粗糙集、弱模糊粗糙集的结果进行了比较分析。实验结果表明,可调节模糊粗糙集通过使用不同的参数,具有很好的调节作用,是强模糊粗糙集和弱模糊粗糙集的一种泛化形式。 |
| 关 键 词： | 近似质量 决策系统 模糊粗糙集 约简 |
| 收稿时间： | 2014/1/28 0:00:00 |
| 修稿时间： | 5/4/2014 12:00:00 AM |
Adjustable Fuzzy Rough Set:Model and Attribute Reduction |
|
| SONG Jing-jing,YANG Xi-bei,QI Yong and QI Yun-song.Adjustable Fuzzy Rough Set:Model and Attribute Reduction[J].Computer Science,2014,41(12):183-188. | |
| Authors: | SONG Jing-jing YANG Xi-bei QI Yong and QI Yun-song |
| Affiliation: | School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China;School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China;Artificial Intelligence Key Laboratory of Sichuan Province,Zigong 643000,China;Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information,Ministry of Education,Nanjing 210094,China;School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China;School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China |
| Abstract: | Fuzzy rough set is an extension of classical rough set by considering requirements of the practical applications.However,many existing fuzzy rough set models only use simple fusions of a set of binary relations,and these fusions are not adjustable.To solve such problem,an adjustable fuzzy rough set was proposed by using a parameterized binary operator.Moreover,the approximate quality was regarded as a measurement and then the heuristic algorithm was used to calculate the reduction of adjustable fuzzy rough set.Finally,the approximate quality and the reduction of adjustable fuzzy rough set were compared with those of the strong fuzzy rough set and the weak fuzzy rough set respectively.The experimental results show that adjustable fuzzy rough set is a generalization of both strong and weak fuzzy rough sets. |
| Keywords: | Approximation quality Decision system Fuzzy rough set Reduction |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《计算机科学》浏览原始摘要信息 | |
| 点击此处可从《计算机科学》下载全文 | |