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针对决策矩阵元素为区间数的不确定多属性决策问题,给出了一种新的决策方法。利用被评方案与理想方案的相对熵,定义了一种新的与区间理想方案的贴近度,据此给出了各方案的排序结果。该方法无需对区间数进行比较,较好地保存了区间数的信息,并将此法与基于距离的多属性决策方法进行对比,结果表明在其他方法都不能排序的情况下,可以采用区间数相对熵方法排序。
Aiming at the uncertain multi-attribute decision-making problem that the decision matrix elements are interval numbers, a new decision-making method is given. By using the relative entropy between the evaluated program and the ideal one, a new closeness with interval ideal solution is defined, and the sorting result of each solution is given. This method does not need to compare the number of intervals and preserves the information of interval numbers well. The method is compared with the distance-based multi-attribute decision making method. The result shows that if all the other methods can not be sorted, the interval number Relative Entropy Method Sorting.