Reduction of Attributes in Ordinal Decision Systems
Rough set theory has proven to be a very useful tool in dealing with many decision situations where imprecise and inconsistent information are involved. Recently, there are attempts to extent the use of rough set theory to ordinal decision making in which decisions are made on ordering of objects through assigning them to ordinal categories. Attribute reduction is one of the problems that is studied under such ordinal decision situations. In this paper we examine some of the proposed approaches to find ordinal reducts and present a new perspective and approach to the problem based on ordinal consistency.
KeywordsDecision Attribute Discernibility Matrix Ordinal Attribute Decision Interval Ordinal Reducts
Unable to display preview. Download preview PDF.
- 3.Komorowski, J., Polkowski, L., Skowron, A.: Rough sets: a tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough-Fuzzy Hybridization: A New Method for Decision Making. Springer, Heidelberg (1998)Google Scholar
- 4.Lee, J.W.T., Yeung, D.S., Tsang, E.C.C.: Rough Sets and Ordinal Reducts. Journal of Soft Computing - A Fusion of Foundations, Methodologies and Applications (to appear)Google Scholar
- 8.Sai, Y., Yao, Y.Y., Zhong, N.: Data analysis and mining in ordered information tables. In: Proc. of the IEEE Int’l Conf. on Data Mining, pp. 497–504 (2001)Google Scholar