中文摘要：

国内茶叶市场产品种类丰富、竞争激烈，研发投入新产品需要准确把握消费者偏好，满足市场需求。立足于多属性决策领域中关于产品的评价选择问题，文章运用关联规则理论从实证数据中挖掘规则，建立置信规则库系统，最终构建偏好评价模型。通过对国内茶叶市场消费者偏好情况进行问卷调研，测度消费者对不同茶叶的偏好得分。对比发现，置信规则库系统的计算结果与统计结果基本一致，证明规则库系统可为市场偏好测度提供客观准确的方法，从而为产品的研发设计提供重要的决策信息。

英文摘要：

In view of the product variety and fierce competition in the tea market in China, RInD of new products needs to grasp the consumer preferences accurately and meet the market demand. Based on the evaluation and selection problem of product in the field of multiple attribute decision making, rules are mined from the empirical data by using the theory of association rules. Then the system of belief rule base is established and the preference evaluation model is built. The market survey questionnaire on the consumer preferences of domestic tea market is designed, and the consumer preference score of different tea is measured. It is found that the calculation results of belief rule base system and the sta- tistical results are basically identical. The belief rule base system can provide objective and accurate method for market preference measure, which provides important decision-making information for de- velopment design of product.