Abstract: Aiming at the actual trust need in Collaborative Decision Support System(CDSS), this paper proposes a trusted decision model. In order to ensure the decision is trusted, the trust model evaluates the trust value of decision participants and decision results by evaluating entities’ action and actual decision tasks. It realizes comprehensive methods of trust value computation, such as direct trust value computation, recommendation trust value computation and decision task familiarity value computation. The trust model evaluates the subjective trust using numerical value that provides objective and reliable methods to make security decision for CDSS system.

Key words: Collaborative Decision Support System(CDSS), behavior trust value, decision task familiarity

摘要： 针对协同决策支持系统(CDSS)中的实际信任需求，提出一种可信决策模型。从决策参与者的行为和决策任务2个方面评估分布式环境下决策参与者的选择和结果可信，从而保证决策可信。通过计算基于历史记录的直接信任度、推荐信任度和决策任务熟悉度，量化信任信息，从而为CDSS系统安全决策提供安全可靠的解决方案。

关键词: 协同决策支持系统, 行为信任度, 决策任务熟悉度

CLC Number: 

• TP39