Firstly, the concept of inconsistent degree is proposed to measure the inconsistent degree of the ordered decision system. By using decision information entropy of decision attribute and inconsistent degree as heuristic information, the consistent amendment algorithm is proposed. The decision information entropy is used as the first heuristic information to ensure the reasonable distribution of amendment results as consistent as possible with the distribution of the original data. The inconsistent degree is used as the second heuristic information to make the algorithm converge quickly and the inconsistent degree reduce to zero at a high speed. The feasibility and the effectiveness of the algorithm is demonstrated by examples and the simulation analysis. Finally, by the comparative analyses of the decision rules derived from the original data and the coordination data, the results show that the modified decision rule is more reasonable.%首先提出不协调度的概念用于度量序决策系统的不协调程度，进而利用决策属性的决策信息熵和不协调度作为启发式信息，提出不协调序决策系统的协调修正算法.以决策信息熵作为第一启发信息，保证协调修正的结果分布合理，尽可能与原始数据的分布规律保持一致，以不协调度作为第二启发信息使算法尽快收敛，不协调度以较快速度降低为0.算例和仿真实验分析均表明文中算法有效可行.最后对比分析协调修正前后导出的决策规则，结果显示修正后的决策规则更具合理性.
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