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A Novel Approach of Rough Conditional Entropy-Based Attribute Selection for Incomplete Decision System
2014
Mathematical Problems in Engineering
Pawlak's classical rough set theory has been applied in analyzing ordinary information systems and decision systems. However, few studies have been carried out on the attribute selection problem in incomplete decision systems because of its complexity. It is therefore necessary to investigate effective algorithms to deal with this issue. In this paper, a new rough conditional entropy-based uncertainty measure is introduced to evaluate the significance of subsets of attributes in incomplete
doi:10.1155/2014/728923
fatcat:7fxsc4ludfemnkoonb7thwg3cy