A method for multi-attribute decision making applying soft rough sets

This paper investigates a method for multi-attribute decision making applying soft rough sets. Firstly, some new concepts such as soft decision systems, soft relative positive regions, soft relative parameter reduct of soft decision systems, dependent degree of decision partition soft sets and conditional significance relative to decision partition soft sets are proposed based on soft rough sets. Secondly, the multi-attribute decision rule applying soft rough sets is given. Thirdly, an algorithm of multi-attribute decision making applying soft rough sets is presented. Finally, an application for the component retrieval problem is given to show the validity of this method.

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