Dominance-Based Rough Set Approach to Reasoning about Ordinal Data-A Tutorial

摘要：

This tutorial lecture intends to introduce the Dominance-based Rough Set Approach (DRSA) methodology for reasoning about ordinal data.DRSA,proposed by Greco,Matarazzo and S(l)owi(n)ski (see e.g.2,6),extends the classical Rough Set approach by handling background knowledge about ordinal evaluations of objects and about monotonic relationships between these evaluations.In DRSA,the indiscernibility or tolerance relation among objects,which is used in the classical Rough Set approach,has been replaced by the dominance relation-the only relation uncontested in multiattribute pairwise comparisons when attribute scales are ordered.The lecture starts with principles of DRSA and goes through the application of DRSA to fuzzy-rough hybridization 1,to end with DRSA to case-based reasoning 3,which builds on this hybridization.This tutorial prepares the ground for a second tutorial lecture on applications of DRSA to decision analysis.

作者: Roman Stowi(n)ski

作者单位: Institute of Computing Science,Pozna(n) University of Technology,60-965 Pozna(n),and Systems Research Institute,Polish Academy of Sciences,01-447 Warsaw,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: 21-22

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）