Abstract: In order to resolve the problems that exist in the decision-making process in respect of the application of evidence theory such as the difficulty to acquire evidence, the different weight of evidence, this paper aims to provide an evidence reasoning model based on the combination of objective data and subjective knowledge under the framework of decision format. In the model, each condition attribute within the decision format will be treated as evidence, and evidence will also be extracted from the underlying information of the decision formal context, thus acquiring the function of basic probability assignment so as to modify the integrated formula by introducing evidence weighting. Simulated results and relevant analysis indicate that the proposed method is effective.

Key words: decision formal context, evidence theory, Basic Probability Assignment（BPA）, weight of evidence, evidence combination rule

摘要： 针对证据理论在决策过程中存在的证据获取困难、证据重要性不同等问题，在决策形式背景框架下构建了一种融合客观数据和先验知识的证据推理模型。该模型将决策形式背景的每个条件属性作为一条证据，同时对决策形式背景所蕴含的知识进行证据提取，获得基本信度指派函数，引入证据权重对合成公式进行修正。仿真结果和相关分析表明，所提方法是合理且有效的。

关键词: 决策形式背景, 证据理论, 基本信度分配, 证据权重, 证据合成法则