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Guest Editorial: Rough Sets and Data Mining

             

摘要

cqvip:A rough set,first described by Polish computer scientist Zdzis?aw Pawlak,is a formal approximation of a crisp set,and it is now known as a new mathematical tool to process vague concepts.They are used for machine learning,knowledge discovery,feature selection,etc.,and are applied to artificial intelligence,medical informatics,civil engineering,Kansei engineering,decision science,business administration,and so on.Especially,research on data mining using rough sets is widely spreading,and the obtained association rules are applied to the characterisation of data and decision support.

著录项

  • 来源
    《智能技术学报》 |2019年第4期|P.201-202|共2页
  • 作者单位

    Faculty of Engineering Kyushu Institute of Technology Sensui Tobata Kitakyushu 804-8550 Japan;

    Faculty of Management and Information Science Josai International University Togane Chiba 283-0002 Japan;

    School of Mathematics Physics and Information Science Zhejiang Ocean University Zhoushan Zhejiang 316022 China;

    Department of Computer Science and Technology Tongji University Shanghai 201804 China;

    Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications Chongqing China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 自动化基础理论;
  • 关键词

    Rough; artificial; computer;

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