@inproceedings{oai:muroran-it.repo.nii.ac.jp:00010164,
 author = {Kudo,  Yasuo and 工藤, 康生 and 村井, 哲也 and MURAI, Tetsuya},
 book = {2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)},
 month = {},
 note = {application/pdf, Attribute reduction is a popular topic in rough set theory; however, object reduction is not considered popularly. In this paper, from a viewpoint of computing all relative reducts, we introduce a concept of object reduction that reduces the number of objects as long as possible with keeping the results of attribute reduction in the original decision table., INSPEC Accession Number: 18674321},
 publisher = {IEEE},
 title = {An Attempt of Object Reduction in Rough Set Theory},
 year = {2019},
 yomi = {クドウ, ヤスオ and ムライ, テツヤ}
}