Abstract: Aiming at the problem of data product selection under the linguistic evaluation information environment, a data product selection model based on additive consistency improving algorithm of linguistic preference relation is designed. Based on the linguistic preference relation information provided by experts, a method to measure the consistency level of linguistic preference relation is introduced, and a construction model of complete additive consistency linguistic preference relation is proposed. A convergent data product selection model is constructed, which is based on the linguistic preference relation consistency improving algorithm. An example of data product selection is given. It is found that the decision-making algorithm is more reliable and effective.

Key words: decision-making algorithm, linguistic preference relation, additive consistency, data product selection

摘要： 针对语言评价信息环境下的数据产品选择问题，设计了一种基于语言偏好关系加性一致性改进算法的数据产品选择模型。以专家提供的语言偏好关系信息为基础，引入了衡量语言偏好关系一致性水平的计算方法，提出了完全加性一致语言偏好关系的构造模型。构建了一种具有收敛性的基于语言偏好关系一致性改进算法的数据产品选择模型。通过数据产品选择实例，发现构建的决策算法更为可靠有效。

关键词: 决策模型, 语言偏好关系, 加性一致性, 数据产品选择