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基于不对称边界的变精度粗糙集的参数选择
引用本文:赵越岭,王建辉,顾树生.基于不对称边界的变精度粗糙集的参数选择[J].系统仿真学报,2006,18(12):3472-3474.
作者姓名:赵越岭  王建辉  顾树生
作者单位:1. 东北大学,信息科学与工程学院,辽宁,沈阳,110004;辽宁工学院,信息科学与工程学院,辽宁,锦州,121001
2. 东北大学,信息科学与工程学院,辽宁,沈阳,110004
摘    要:不对称边界的变精度粗糙集是Pawlak粗糙集、变精度粗糙集的推广,在l和u参数作用下,使粗糙集模型更加一般化,完善了近似空间的概念。基于不对称变精度粗糙集模型研究的基础上,提出了分类质量和依赖度的方法对不精确信息进行度量,对决策表进行约简。在l,u值的选取,提出了单参数控制的方法,通过l,u-质量图分析和计算验证了方法的有效性。

关 键 词:不对称边界的变精度粗糙集  分类质量  依赖度  单参数控制  l  u-质量图
文章编号:1004-731X(2006)12-3472-03
收稿时间:2006-01-13
修稿时间:2006-03-16

Choice of Parameter Based on VPRS with Asymmetric Bounds
ZHAO Yue-ling,WANG Jian-hui,GU Shu-sheng.Choice of Parameter Based on VPRS with Asymmetric Bounds[J].Journal of System Simulation,2006,18(12):3472-3474.
Authors:ZHAO Yue-ling  WANG Jian-hui  GU Shu-sheng
Institution:1.College of Information Science and Engineering, Northeastern University, Shenyang 110004, China; 2. College of Information Science and Engineering, Liaoning Institute of Technology, Jinzhou 121001, China
Abstract:The variable precision rough set (VPRS ) with asymmetric bounds is a development of the Pawlak rough set theory and variable precision rough set. Under l and u values, it made the rough set generalization and consummates approximation spatial concepts. In order to reduce a decision table, the method of quality of classification and degree of dependency were proposed to measure uncertain information based on variable precision rough set model with asymmetric bound. The single parameter control method was proposed to select l and u values. It is available by computing and analyzing with l,u-quality graph.
Keywords:VPRS with Asymmetric Bound  Quality of Classification (QoC )  Degree of Dependency ( DoD )  Single Parameter Control  l  u -Quality Graph
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