Abstract: In order to make the indicators of the petrochemical safety management evaluation index system more applicable to the variation of time, national policy and practical management requirement, based on the important evaluation information on incentive indicators in the existing sample accident cases by domain experts and the two-tuple linguistic information analysis method, the revised contribution degrees of the samples were obtained. Then the entropy weight method was introduced to compute the weights of indicators based on the amended contribution degree, time and hazard rating of all the sample accidents. An indicator adjusting system was developed based on the proposed method. The adjusting system was employed to optimize the existing weight of the indicators in the risk assessment system for a certain safety engineering research institute.The adjustments were performed in batches based on 1 874 samples. The amended results show that the K-L divergence of revised index weight curve and excellent practice index mean curve is getting smaller, and that the revised index system weight is close to the average weight of excellent practice index, so the effectiveness of the proposed method is demonstrated.

Key words: safety management, two-tuple linguistic, sample contribution degree, entropy weight method, index weight adjusting