Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions

摘要：

Granular reflections of data sets have turned out to be very effective in data classification．In this work we present results of classi fication of real data sets by means of an approach in which granules of objects or decision rules are built on the basis of weak variants of rough inclusions．

关键词： rough sets granulation of knowledge rough inclusions clas-sification of data

作者: Piotr Artiemjew

作者单位: University of Warmia and Mazury Zolnierska 14,10-560 Olsztyn,Poland

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 229-236

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）