An Approach of Rough Set for Data Fusion

Shaoyong Li, Zhiyong Hong

Abstract


Data fusion is an important research hot issue due to rapidly growing networks. Rough set theory is an effective tool for process imperfect information. In this paper, we suggest an approach for fusing attribute information from multiple sources into a decision system based on rough set model. A numerical example is employed to illustrate how to fuse information that we take interesting in and to validate the feasibility of the approach.


DOI
10.12783/dtetr/apetc2017/11386

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