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Among the methods to knowledge discovery, rough set proposed by Pawlak is one of the most important theories. One key concept of rough set is reduction, which is proved to be NP-hard problem. In order to improve the effectiveness of reduction, a quick algorithm about information reduction and rule acquisition based on distributed computing is put forward. In this algorithm, an attribute-value-tree...
In order to get a value reduction quickly, this paper puts forwards a new algorithm of value reduction based on attribute-value-tree model in attribute order and proves it's correctness. A attribute reduction and value reduction can be got quickly at the same time from a discrete table in this algorithm. The computational complexity of reduction is changed to O(|U|2|C|) where |U| and |C| are the number...
As situation assessment in the warfare involves abundant, uncertain and redundant information, this paper presents a method for situation assessment of multi-attribute decision making based on rough sets. First, it proposes a discernibility function and improves the knowledge reduction algorithm, thus improves the efficiency; Furthermore, a model for situation assessment of multi-attribute decision...
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