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### 应用近似模糊熵的不完备信息系统属性约简

1. 皖西学院金融与数学学院 六安237012;皖西学院金融风险智能控制与预警研究中心 六安237012,中国科学技术大学 合肥230026,安徽星瑞齿轮传动有限公司品控部 六安237012
• 出版日期:2018-12-01 发布日期:2018-12-01
• 基金资助:
本文受安徽省高等学校省级自然科学研究项目(KJ2013B345),安徽省高等学校省级教学研究项目(2012jyxm004),安徽省自然科学基金项目(1508085QA04)资助

### Attribute Reduction Algorithm for Incomplete Information Systems Based on Approximate Fuzzy Entropy

WANG Qiong-zhi, ZHENG Wen-xi and WANG Dao-ran

• Online:2018-12-01 Published:2018-12-01

Abstract: Attribute reduction is important research content of rough set theory.Attribute reduction based on information entropy is an effective method of knowledge reduction.In practical application,the acquired information system is usually not complete.To solve this problem,we defined a new knowledge entropy based on the relationship between the attribute subset redu and CAttr-redu,and proposed a new incomplete information system attribute reduction algorithm (newS algorithm) applying approximate fuzzy entropy.Finally,simulation experiment was carried out on 6 data sets in ROSE and UCI data.The experimental results show that the newS algorithm is feasible,and has higher efficiency compared with other algorithms under the same reduction effect.

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