A rough analysis method of multi-attribute decision making for handling decision system with incomplete information
Mingli Hu, Sifeng Liu
Abstract
Mingli Hu, Sifeng Liu
Abstract
A rough analysis method based on extension of rough sets is proposed for handling multi-attribute decision making problems with preference and incomplete information. Firstly, the concept of generalized extended dominance relation is presented; secondly, the rough approximations of knowledge are obtained by generalized extended dominance relation and decision rules of classification are acquired; thirdly, new method proves to be the generalization of the existing method and its performance is studied by contrast analysis; finally, the feasibility and effectiveness of new method are demonstrated by an example.
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A rough analysis method based on extension of rough sets is proposed for handling multi-attribute decision making problems with preference and incomplete information. Firstly, the concept of generalized extended dominance relation is presented; secondly, the rough approximations of knowledge are obtained by generalized extended dominance relation and decision rules of classification are acquired; thirdly, new method proves to be the generalization of the existing method and its performance is studied by contrast analysis; finally, the feasibility and effectiveness of new method are demonstrated by an example.
Key concepts: Rough set, Dominance-based rough set approach, Computer science, Relation (database), Generalization, Extension (predicate logic), Data mining, Preference relation