In temporal information fusion, the information collected by sensors is obtained dynamically with the passage of time. Unlike the spatial information fusion, temporal fusion should be dynamic. Evidence theory has been applied to fuse temporal and spatial information; however, existing temporal fusion methods do not treat conflicting and non-conflicting evidence sources distinctively. Moreover, unlike spatial evidence sources, which are obtained simultaneously, temporal evidence sources cannot be evaluated simultaneously to obtain their degree of reliability. Thus, it is necessary to develop a method for temporal evidence combination. In this paper, a self-adaptive combination method for temporal evidence is proposed based on the negotiation strategy. In the proposed method, a set called an evidence set is constructed by the cumulative temporal fusion results of the previous moment, current moment, and future moment. The evidence set is evaluated as conflicting or non-conflicting according to the maximum power pignistic probability distance between each pair of evidence sources in the set. Then, temporal evidence sources are self-adaptively combined by different methods according to the degree of conflict. Numerical experiments were conducted to evaluate the performance of the proposed method. The results indicated that the proposed method is sufficiently effective and robust to support decision making.

在时间信息融合中，传感器收集的信息随着时间的流逝而动态获得。与空间信息融合不同，时间融合应该是动态的。证据理论已被用于融合时空信息。但是，现有的时间融合方法不能明显地处理冲突和非冲突的证据源。此外，与同时获得的空间证据源不同，不能同时评估时间证据源以获得其可靠性。因此，有必要开发一种时间证据组合的方法。本文提出了一种基于协商策略的时间证据自适应组合方法。在建议的方法中，由先前时刻，当前时刻和未来时刻的累积时间融合结果构成一个称为证据集的证据集。根据证据集中每对证据源之间的最大幂效概率概率距离，将证据集评估为有冲突或无冲突。然后，根据冲突的程度，通过不同的方法自适应地组合时间证据源。数值实验进行了评估该方法的性能。结果表明，所提出的方法足够有效且鲁棒，可以支持决策。根据证据集中每对证据源之间的最大幂效概率概率距离，将证据集评估为有冲突或无冲突。然后，根据冲突的程度，通过不同的方法自适应地组合时间证据源。数值实验进行了评估该方法的性能。结果表明，所提出的方法足够有效且鲁棒，可以支持决策。根据证据集中每对证据源之间的最大幂效概率概率距离，将证据集评估为有冲突或无冲突。然后，根据冲突的程度，通过不同的方法自适应地组合时间证据源。数值实验进行了评估该方法的性能。结果表明，所提出的方法足够有效且鲁棒，可以支持决策。