Abstract
In this paper, we propose a revised method of rule extraction from decision tables using logic minimization technique. Rule extraction using logic minimization technique has been proposed as one of the method of heuristic rule extraction from decision tables.However, when this technique is used in large scale decision table, logic functions that represent the decision table generally have very few adjacent terms on Karnaugh map and it causes difficulty for expansion process. In this paper, we will try tosolve this problem byimproving thealgorithmof expansion process.Additionally, we will verify the effectiveness of proposed algorithm comparing it with existing algorithm.
