The probabilistic linguistic term has been proposed to deal with probability distributions in provided linguistic evaluations. However, because it has some fundamental defects, it is often difficult for decision-makers to get reasonable information of linguistic evaluations for group decision making. In addition, weight information plays a significant role in dynamic information fusion and decision making process. However, there are few research methods to determine the dynamic attribute weight with time. In this paper, I propose the concept of double fuzzy probability interval linguistic term set (DFPILTS). Firstly, fuzzy semantic integration, DFPILTS definition, its preference relationship, some basic algorithms and aggregation operators are defined. Then, a fuzzy linguistic Markov matrix with its network is developed. Then, a weight determination method based on distance measure and information entropy to reducing the inconsistency of DFPILPR and obtain collective priority vector based on group consensus is developed. Finally, an aggregation-based approach is developed, and an optimal investment case from a financial risk is used to illustrate the application of DFPILTS and decision method in multi-criteria decision making.

翻译：提出了概率语言术语,以处理提供语言评价的概率分布,然而,由于存在一些根本缺陷,决策者往往难以获得合理语言评价信息,以便进行群体决策;此外,加权信息在动态信息融合和决策过程中起着重要作用;然而,很少有研究方法确定动态属性比重和时间。在本文件中,我提出了双模糊概率间距语言术语设置概念(DFPILTS)。首先,定义了模糊的语义整合、DFPILTS定义、其偏好关系、一些基本算法和集合操作员。然后,开发了一个模糊的语言Markov矩阵及其网络。然后,制定了基于远程测量和信息的权重确定方法,以减少DFPILPR的不一致性,并根据集体共识获得集体优先矢量。最后,制定了基于汇总的方法,并用财务风险的最佳投资案例来说明DFILTS和决定方法在多标准决策中的应用情况。