2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery Order-Based Decision Rules Acquisition in Continuous-Valued Decision Information Systems Tianjin, China August 14-August 16 ISBN: 978-0-7695-3735-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.101
In a continuous-valued information system, attribute values of objects represent not only the relative distances, but also the ordinal relation of objects. By considering the relative distances of objects, some discretization approaches and other approaches were proposed in previous literature, to discuss the attribute reduces of the system. This paper considers ordinal relations of objects, and utilizes dominance relation rough set model to discuss decision rules acquisition problems. Firstly, concepts of order-based decision rules and generalized order-based decision rules are introduced. Then the concept of optimal order-based decision rule is defined. In order to compute optimal order-based decision rules, the concept of reduct of the object is proposed. Lastly, discernibility functions of objects are constructed, and used to compute optimal order-based decision rules by Boolean reasoning techniques.
Index Terms:
Information system, Rough set, Dominance relation, Attribute reduct, Optimal decision rule
Citation:
Yanyong Guan, Lei Du, Yun Wang, "Order-Based Decision Rules Acquisition in Continuous-Valued Decision Information Systems," fskd, vol. 2, pp.435-439, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||