模式识别与人工智能
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模式识别与人工智能  2016, Vol. 29 Issue (2): 108-115    DOI: 10.16451/j.cnki.issn1003-6059.201602002
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协调的不完备多粒度标记决策系统的最优粒度选择*
吴伟志,陈 颖,徐优红,顾沈明
浙江海洋学院 浙江省海洋大数据挖掘与应用重点实验室 舟山 316022
浙江海洋学院 数理与信息学院 舟山 316022
Optimal Granularity Selections in Consistent Incomplete Multi-granular Labeled Decision Systems
WU Weizhi, CHEN Ying, XU Youhong, GU Shenming
Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province,
Zhejiang Ocean University, Zhoushan 316022
School of Mathematics, Physics and Information Science, Zhejiang Ocean University, Zhoushan 316022

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摘要 针对具有多粒度标记的不完备信息系统的知识获取问题展开研究,首先,介绍不完备多粒度标记信息系统的概念,在不完备多粒度标记信息系统中的对象集上定义相似关系.然后,给出在不同粒度层面下信息粒度的表示及其相互关系,并进一步定义基于相似关系的集合的下、上近似概念,讨论它们的性质.最后,用证据理论中的信任函数和似然函数刻画协调的不完备多粒度标记决策系统的最优粒度选择特征.
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吴伟志
陈 颖
徐优红
顾沈明
关键词 粗糙集粒计算信任函数 不完备信息系统多粒度标记决策系统    
Abstract:Aiming at knowledge acquisition in incomplete information systems with multi-granular labels, the concept of incomplete multi-granular labeled information systems is firstly introduced.Similarity relations of an incomplete multi-granular labeled information system are then defined.Representations of information granules with different levels of granulation as well as their relationships are also explored.Lower and upper approximations based on similarity relations with different levels of granulation are further defined and their properties are presented.Finally, by belief and plausibility functions in Dempster-Shafer theory of evidence, optimal granularity selections in consistent incomplete multi-granular labeled decision systems are discussed.
Key wordsRough Set    Granular Computing    Belief Function    Incomplete Information System    Multi-granular Labeled Decision System   
收稿日期: 2015-05-29     
ZTFLH: TP18  
基金资助:国家自然科学基金项目(No.61573321,61272021,61202206,61173181)、浙江省自然科学基金项目(No.LY14F030001,LZ12F03002)资助
作者简介: 吴伟志(通讯作者),男,1964年生,博士,教授,主要研究方向为粗糙集、粒计算、数据挖掘、人工智能.E-mail:wuwz@zjou.edu.cn.
(WU Weizhi (Corresponding author), born in 1964, Ph.D., professor. His research interests include rough sets, granular computing, data mining and artificial intelligence.)
陈 颖,女,1992年生,硕士研究生,主要研究方向为粗糙集、数据挖掘.E-mail: 825077994@qq.com.
(CHEN Ying, born in 1992, master student. Her research interests include rough sets and data mining. )
徐优红,女,1969年生,硕士,副教授,主要研究方向为粗糙集、粒计算、人工智能.E-mail: xyh@zjou.edu.cn.
(XU Youhong, born in 1969, master, associate professor. Her research interests include rough sets, granular computing and artificial intelligence. )
顾沈明,男,1970年生,硕士,教授,主要研究方向为粒计算、粗糙集、数据挖掘、机器学习.E-mail: gsm@zjou.edu.cn.
(GU Shenming, born in 1970, master, professor. His research interests include granular computing, rough sets, data mining and machine learning.)
引用本文:   
吴伟志,陈 颖,徐优红,顾沈明. 协调的不完备多粒度标记决策系统的最优粒度选择*[J]. 模式识别与人工智能, 2016, 29(2): 108-115. WU Weizhi, CHEN Ying, XU Youhong, GU Shenming. Optimal Granularity Selections in Consistent Incomplete Multi-granular Labeled Decision Systems. , 2016, 29(2): 108-115.
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