大规模协作模式下产品创意动态决策方法--基于证据推理算法

Dynamic Decision-Making Method of Product Ideas in the Mass Collaboration Mode Based on Evidence Reasoning

为解决大规模协作模式下产品创意提取及实时更新创意排名问题,实现产品创意的动态决策,首先针对企业需求,根据头脑风暴法提出了产品创意的产生方法;其次对参与创意评价的主体和评价指标体系进行分类划分,并将二者的对应关系予以说明;然后基于基本信任分配(BBA)函数构建了产品创意信息的提取机理,依据证据推理(ER)规则构建了产品创意静态融合的过程,在此基础上推导出大规模协作模式下产品创意动态推荐的方法步骤;最后以华为创意推荐为例模拟了所提方法的具体操作过程,验证了其有效性。本文的创新之处在于允许参与主体仅对部分指标开展推断,并充分考虑了指标权重和专家权重对融合结果的影响,在维护原始数据真实性的同时提高了产品的创新效率。

In order to solve the problem of extracting product ideas and updating the ranking of ideas in real time in the mass collaboration mode,and to realize dynamic decision‐making of product ideas,firstly,according to the needs of enterprises,the generation method of product ideas was proposed according to brainstorming method.Secondly,the participants and evaluation index system of involved in evaluation were classified,and the corresponding relationship between them was illustrated.Then,based on the basic belief assignment(BBA)function,the extraction mechanism of product information was constructed,and the static integration process is constructed according to the rule of evidence reasoning(ER).On this basis,the method and steps of dynamic intelligent recommendation of product ideas in the mass collaboration mode are deduced.Finally,HUAWEI was taken as an example to simulate the specific operation process of the proposed method and verify the effectiveness of the proposed method.The innovation is to allow participants to infer only part of the indicators,and fully consider the impact of the weights of indicators and participants on the fusion results.It improves the innovation efficiency of products while maintaining the authenticity of the original data.