An Attempt of Object Reduction in Rough Set Theory

doi:info:doi/10.1109/SCIS-ISIS.2018.00017

An Attempt of Object Reduction in Rough Set Theory 利用統計を見る

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10_SCIS_19_ISIS_18674321
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アイテムタイプ	会議発表論文 / Conference Paper
言語	英語
キーワード	rough set, object reduction, attribute reduction, discernibility matrix
著者	KUDO Yasuo ( 研究者リゾルバーID: 1000090360966 ) MURAI Tetsuya
著者（別表記）	工藤康生村井哲也
室蘭工業大学研究者データベースへのリンク	工藤康生（KUDO Yasuo）
抄録	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.
雑誌名	2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)
発行年	2019
注記	INSPEC Accession Number: 18674321
出版者	IEEE
出版者版へのリンク	10.1109/SCIS-ISIS.2018.00017
DOI	info:doi/10.1109/SCIS-ISIS.2018.00017
日本十進分類法	007
権利	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
著者版フラグ	author
フォーマット	application/pdf
コンテンツに関連する検索キーワード	amazon

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