Rough analysis model of multi-attribute decision making based on limited similarity dominance relation

A decision analysis model based on extension of rough sets is proposed for multi-attribute decision making problems with preference and incomplete information. Firstly, the concept of limited similarity dominance relation is presented. Then, the rough approximations of knowledge are obtained based on limited similarity dominance relation and decision rules of classification are acquired. Compared with the similarity dominance relation, the limited similarity dominance relation takes into account the differences between different incomplete information. Finally, an example shows the feasibility and effectiveness of the proposed model.