Incomplete multigranulation rough sets in incomplete ordered decision system

Authors:
Li-juan Wang;Xi-bei Yang;Jing-yu Yang;Chen Wu
Affiliations:
School of Computer Science and Technology, NUST, Nanjing, China;School of Computer Science and Technology, NUST, Nanjing, China;School of Computer Science and Technology, NUST, Nanjing, China;Department of Computer Science and Engineering, JUST, Zhenjiang, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

Citing 5
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Abstract

The tolerance relation based incomplete multigranulation rough set is not able to explore the incomplete ordered decision systems. To solve such problem, similarity dominance relation based rough set approach is introduced into multigranulation environment in this paper. Two different types of models: similarity dominance relation based optimistic incomplete multigranulation rough set model and pessimistic incomplete multigranulation rough set model are constructed respectively. The properties and the relationships of them are discussed. Eight types of decision rules in the two models are proposed. An illustrative example is employed.