期刊文献+

Two kinds of average approximation accuracy

下载PDF
导出
摘要 Rough set theory places great importance on approximation accuracy,which is used to gauge how well a rough set model describes a target concept.However,traditional approximation accuracy has limitations since it varies with changes in the target concept and cannot evaluate the overall descriptive ability of a rough set model.To overcome this,two types of average approximation accuracy that objectively assess a rough set model’s ability to approximate all information granules is proposed.The first is the relative average approximation accuracy,which is based on all sets in the universe and has several basic properties.The second is the absolute average approximation accuracy,which is based on undefinable sets and has yielded significant conclusions.We also explore the relationship between these two types of average approximation accuracy.Finally,the average approximation accuracy has practical applications in addressing missing attribute values in incomplete information tables.
出处 《CAAI Transactions on Intelligence Technology》 SCIE EI 2024年第2期481-490,共10页 智能技术学报(英文)
基金 National Natural Science Foundation of China,Grant/Award Number:61976254 Natural Science Foundation of Fujian Province,Grant/Award Numbers:2020J01707,2020J01710。
关键词 rough sets rough set theory
  • 相关文献

参考文献1

二级参考文献1

共引文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部