The significance of attributes in decision table is defined from the viewpoint of discernibility matrix and the concept of partial discernibility matrix is given and based on which a heuristic algorithm for reduction of knowledge is proposed. Experimental results show that this algorithm can find the minimal reduction for most decision tables.
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