考虑期望强度与属性补偿关系的新能源汽车在线推荐方法

A New Energy Vehicle Online Recommendation Method Considering the Relationship between Aspiration Strength and Attribute Compensation Relationship

基于消费者属性期望,结合柔性决策和补偿原则理论,定义期望强度与属性补偿关系,明确属性期望与期望强度融合方法以及产品属性补偿规则,提出考虑期望强度和属性补偿关系的新能源汽车在线筛选方法。结合证据理论与消费者风险偏好提出新能源汽车在线排序方法,实现在线推荐满足消费者期望的新能源汽车。研究发现:与考虑属性期望严格约束的推荐方法相比,同时考虑期望强度与属性补偿关系能够避免综合高性价比车型因部分消费者属性期望严格约束而被忽略;采用证据推理结合消费者风险偏好确定车型优先级,能够更加精准地为消费者推荐满足个性化期望的新能源汽车。

Based on consumers' attribute aspiration,this study combines flexible decision and theory of compensation principle,defines aspiration strength and attribute compensation relationship,clarifies the method of integrating attribute aspiration and aspiration strength,the rules of product attribute compensation,and proposes the online selection method of new energy vehicles considering aspiration strength and attribute compensation relationship.Combining the evidence theory and consumer risk preference,we propose an online ranking method,and realize the online recommendation of vehicles that satisfy aspiration for consumers.The results show that:Compared with the recommendation method that considers the strictly attribute aspiration,the method that considers both aspiration strength and attribute compensation relationship,can avoid the comprehensive cost-effective models being ignored due to the strictly attribute aspiration.Adopting evidential reasoning combined with consumers' risk preferences to determine model priorities can more accurately recommend new energy vehicles that satisfy personalized aspiration for consumers.