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针对语言型评价信息在动态群体评价中的有效集结问题,提出了一种新的时序特征下语言评价信息的激励性集结方法。首先,考虑指标的时序变异特征,通过熵权的相对变异度来修正指标熵权得到各阶段指标的可信权重;其次,给出二元语义时序激励算子(time ordered incentive operator,TOI)的定义,引入柔性时间权重和激励性调节系数,进行评价信息的激励性集结;最后,以某运载火箭研究院对其供应商的合作效果评价为背景进行算例研究。结果表明:所提方法是进行语言型动态群体评价的有效方法,具有良性的激励引导作用,且能在一定程度上避免以往语言信息处理所造成的信息扭曲和损失,为解决动态群体评价问题提供了一种新途径。
Aiming at the problem of effective assembly of linguistic assessment information in dynamic group assessment, a new method of incentive assessment of linguistic assessment information based on temporal characteristics is proposed. First of all, considering the temporal variation features of the index, the entropy weight of the entropy weight is used to correct the entropy weight of each index to obtain the confidence weight of each index. Secondly, the time ordered incentive operator (TOI) Definition, flexible time weight and incentive adjustment coefficient are introduced to make incentive assembly of evaluation information. Finally, a carrier research institute is used to evaluate the cooperation effect of its suppliers. The results show that the proposed method is an effective method to evaluate linguistic dynamic group, which has a benign motivational and guiding function and can avoid the distortion and loss of information caused by the previous linguistic information processing to a certain extent, providing a solution to the problem of dynamic group evaluation A new way.