Value reduction method of inconsistent decision table

The problem of calculate the concise decision rules in the inconsistent tables is studied,the method of distinction matrix structure is proposed,which can be better applied to the decision table of many decision attributes exist simultaneously,with the help of distinction matrix to proceed value reduction,a new rule extraction algorithm is proposed.The attributes importance is used to describe the extent of the impact that the conditions attributes in the decision table provided by the knowledge.The rule of accuracy to measure the result of the decision table to creat the new rules are inconsistent.Case study to verify the algorithm will not undermine the system of consensus decision rules and regulations inconsistent with the amount of information behind,the reduction to maintain the accuracy of the same rules.The experimental results show that the algorithm is efficient and feasible.