Abstract：Aimed at incomplete test information for fault diagnosis decision making problems, an approach of rough set and information entropy was introduced. The decision making attributes support function were used to find corresponding core, which was used to be heuristic information; used the method of establishing connections between attribute knowledge and information entropy, an attribute reduction based on information entropy was brought forward. The attribute reduction algorithm flow was designed based on decision making attributes support function and information entropy; it could get the best attribute reduction set and reduced attribute search space. The experimental results show that this algorithm is good for complete inconsistent and incomplete inconsistent decision-making information system; it can solve problems about incomplete test information test for fault decision-making problem.
收稿日期: 2012-03-23
引用本文:
陈利安;肖明清;赵鑫. 基于粗糙集与信息熵的不完备测试信息条件下故障诊断[J]. , 2012, 31(22): 24-28.
Chen Li’an Xiao Mingqing Zhao Xin. Incomplete information system fault diagnosis decision making based on rough set and information entropy. , 2012, 31(22): 24-28.
2012, Vol. 31 
