@article{oai:kyutech.repo.nii.ac.jp:00006405,
 author = {Sakai, H and 酒井, 浩},
 issue = {1},
 journal = {Bulletin of Informatics and Cybernetics},
 month = {Oct},
 note = {Rough sets theory is now becoming a mathematical foundation of soft computing. This theory makes use of equivalence relations defined for each set of attributes in any table, and applies the concept like definability of a set, dependency among attributes, reduction of data, rule extraction, etc., to data analysis. In this paper, a problem of knowledge discovering in the form of rules from any table with non-deterministic information is discussed. At first, the rough sets based concept including rule extraction is surveyed, and this concept is extended to new one related to non-deterministic information. Then, a framework of rule extraction from tables with non-deterministic information is proposed, and some algorithms for handling such new concept are presented. Also implemented programs and a real execution of these programs are shown.},
 pages = {13--28},
 title = {On a Method to Extract Rules from a Table with Non-deterministic Information: A Rough Sets based Approach},
 volume = {34},
 year = {2002},
 yomi = {サカイ, ヒロシ}
}