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基于粗糙集的属性约简算法综述 被引量:28

Survey on Attribute Reduction Algorithm of Rough Set
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摘要 属性约简是粗糙集中的一个重要研究方向.本文从8个方面对基于粗糙集的属性约简算法进行归纳,即:不完备决策信息表,不相容决策信息表,连续型属性决策信息表,动态决策信息表,有序型属性决策信息表,基于粗糙扩展模型的属性约简,基于属性重要度的属性约简,结合智能优化算法的属性约简,这对进一步深入研究粗糙集的属性约简算法具有积极意义. Attribute reduction is an important research direction in rough set.This paper summarizes attribute reduc⁃tion algorithms based on rough sets from eight aspects,including incomplete decision information tables,incompatible deci⁃sion information tables,continuous attribute decision information tables,dynamic decision information table,ordered data decision information table,attribute reduction algorithm based on rough extension model,attribute reduction algorithm based on attribute importance degree and attribute reduction algorithm based on intelligent optimization algorithm.Through summarizing eight aspects of attribute reduction algorithms based on rough set,positive significance is shown for further re⁃search on attribute reduction algorithm of rough set.
作者 周涛 陆惠玲 任海玲 霍兵强 ZHOU Tao;LU Hui-ling;REN Hai-ling;HUO Bing-qiang(School of Computer Science and Engineering,North Minzu University,Yinchuan,Ningxia 750021,China;School of Science,Ningxia Medical University,Yinchuan,Ningxia 750004,China;The First People’s Hospital of Yinchuan City,Yinchuan,Ningxia 750001,China;Key Laboratory of Images&Graphics Intelligent Processing of State Ethnic Affairs Commission,North Minzu University,Yinchuan,Ningxia 750021,China)
出处 《电子学报》 EI CAS CSCD 北大核心 2021年第7期1439-1449,共11页 Acta Electronica Sinica
基金 国家自然科学基金(No.62062003) 宁夏重点研发项目(引才专项)(No.2020BEB04022) 北方民族大学引进人才科研启动项目(No.2020KYQD08)。
关键词 粗糙集 属性约简 不完备决策 不相容决策 增量决策 rough set attribute reduction incomplete decision incompatible decision dynamic decision
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