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《山东大学学报(理学版)》 ›› 2022, Vol. 57 ›› Issue (3): 41-48.doi: 10.6040/j.issn.1671-9352.4.2021.010

• • 上一篇    

基于TOPSIS的无标签序贯三支决策模型

杨洁1,2*,罗天1,李阳军1   

  1. 1. 遵义师范学院物理与电子科学学院, 贵州 遵义 563002;2. 重庆邮电大学计算智能重庆市重点实验室, 重庆 400065
  • 发布日期:2022-03-15
  • 作者简介:杨洁(1987— ),男,副教授,博士,研究方向为粒计算、数据挖掘、粗糙集. E-mail:yj530966074@foxmail.com*通信作者
  • 基金资助:
    国家自然科学基金资助项目(62066049);贵州省科技计划项目(黔科合基础-ZK［2021一般332］;贵州省教育厅青年科技人才成长项目(黔教合KY字［2020］097);贵州省科技厅学术新苗培养及创新探索项目(黔科合平台人［2017］5727-06号);贵州省普通高等学校电子制造产学研基地(［2014］230);贵州省大学生创新创业训练计划项目(202110664026)

Unlabeled sequential three-way decisions model based on TOPSIS

YANG Jie1,2*, LUO Tian1, LI Yang-jun1   

  1. 1. School of Physics and Electronic Science, Zunyi Normal University, Zunyi 563002, Guizhou, China;
    2. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Post and Telecommunications, Chongqing 400065, China
  • Published:2022-03-15

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摘要： 为解决无标签信息系统中已知接受域对象数的决策问题,提出了无标签信息系统的序贯三支决策模型。首先采用TOPSIS算法进行数据预处理;其次根据数据集特征提出期望密度差的定义,并提出了无标签三支决策的构建算法,给出数据驱动下的决策阈值选择方法;同时在此基础上进一步建立了无标签序贯三支决策模型。案例分析显示,在属性值动态更新的情况下,序贯三支决策阈值具有自适应性。最后,相关实验验证了该模型的有效性。

关键词: 序贯三支决策, 无标签信息系统, 数据驱动, 期望密度差

Abstract: To solve the issue of given accepted number for UIS, a unlabeled S3WD model is established. First, using TOPSIS algorithm for data pre-processing. Then, according to the data distribution, the concept of expectation density difference is defined to propose an algorithm of the unlabeled 3WD, and a selection method of the decision thresholds under data-driven is proposed. Meanwhile, the unlabeled S3WD model is further established. Next, the case analysis shows that the S3WD thresholds are adaptive under dynamic updating attributes. Finally, related experiments verify the validity of the model.

Key words: sequential three-way decision, unlabeled information system, data-driven, expectation density difference

中图分类号: 

  • TP311
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[1] 孙忠贵1,陈杰2. 数据驱动核的非局部均值滤波器改进[J]. 山东大学学报（理学版）, 2014, 49(05): 24-27.
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