论文提出和研究了布尔向量数据模式分类中的关键问题，并将研究结果应用于中医学诊断量表研制当中。

Some key issues of pattern classification for Boolean vector data are put forward and studied in the dissertation, and research results are applied into TCM diagnosis scale development.

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借助覆盖向量刻画了代数免疫布尔函数的特征，给出布尔函数代数免疫不大于某确定值的充要条件。

A sufficient and necessary condition is given that the algebraic immunity of a Boolean function is not more than a fixed value.

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目前已有的检索模型有布尔模型、向量模型、概率模型以及以上三个经典模型的变形模型。

At present there are the Boolean model, the vector space model, the probabilistic model and distorted model of the above three classic models.

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