计算机工程与应用Issue(22)：223-227,5.DOI:10.3778/j.issn.1002-8331.1301-0176
三枝粗糙集和变粒度原理的手写体汉字识别
Study of handwritten Chinese characters recognition based on three branches rough sets and variable granularity principle
王建平 1王梦泽1
作者信息
- 1. 合肥工业大学 电气工程及自动化学院，合肥 230009
- 折叠
摘要
Abstract
The model of the theory of three-way decision-theoretic rough sets is used for the recognition of handwritten Chinese characters. A model of the theory of three-way decision-theoretic rough sets is set up which the regional classifi-cation is based on positive, negative and boundary. It can better reflect the recognition of handwritten Chinese characters classification on approximation. And define characteristic attribute of reduction of relative granularity entropy and the sig-nificance of attribute in offline handwritten Chinese characters recognition decision information system. If consider the recognition of handwritten Chinese characters from the point of view of the importance of attribute, it can design a kind of bottom up particle network structure based on logical operation between grain and grain, you can obtain more effective information. Simulation results show that, the method is feasible and effective.关键词
粗糙集/三枝决策/风险损失/决策约简/粒度分层Key words
rough set/three-way decision making/risk of loss/attribute reduction/vary granularity分类
信息技术与安全科学引用本文复制引用
王建平,王梦泽..三枝粗糙集和变粒度原理的手写体汉字识别[J].计算机工程与应用,2014,(22):223-227,5.
