计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 351-353.

• 数据挖掘 • 上一篇    下一篇

基于加权变精度容差粗糙集模型的属性约简及应用研究

佘侃侃,胡孔法,王珍   

  1. 南京中医药大学信息技术学院 南京210023;南京中医药大学信息技术学院 南京210023;南京中医药大学信息技术学院 南京210023
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受江苏省自然科学基金青年项目“多数据挖掘方法集成的方剂配伍规律挖掘模式设计与系统实现”(BK20140958),江苏省高校自然科学基金项目“多数据挖掘方法集成的方剂配伍规律挖掘模式设计与系统实现”(14KJB520032),南京中医药大学青年自然科学基金项目“基于数据挖掘的方剂配伍与临床疗效相关性研究”(13XZR36)资助

Research and Application on Reduction of Weighted Variable Precision Model Based on Tolerance Theory

SHE Kan-kan,HU Kong-fa and WANG Zhen   

  • Online:2018-11-14 Published:2018-11-14

摘要: 对变精度粗糙集模型进行了改进,结合相容关系,提出了加权变精度容差关系模型。在此基础上,将属性重要度和信息熵相结合作为启发式信息,研究了基于属性敏感度的约简算法,克服了传统属性约简算法中仅考虑单个属性分类能力的缺陷,保证了约简的完备性。最后,以海量中医方剂数据为例,说明该模型和算法在大数据分析中的有效性。

关键词: 变精度粗糙集,大数据分析,相容关系,属性约简,中医方剂

Abstract: Variable precision rough set was improved in this paper.Combined with tolerance relation theory,the weighted variable precision model based on tolerance theory was proposed.Furthermore,we suggested a new heuristic algorithm using the sensitivity of attributes,which is based on the significance of attributes and entropy, can overcome the shortcoming of classical model and ensure the completeness of reduction.As a result,traditional Chinese prescriptions were used to prove the effectiveness of model and algorithm mentioned in this paper.

Key words: Variable precision rough sets,Big data analysis,Tolerance theory,Attribute reduction,Chinese prescription

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