关键词: 谱系树构建, 形态学缺失数据, 属性约简, 先验决策模型

Abstract: In order to construct phylogenetic tree with missing morphological data, this paper proposes an attribute reduction method for constructing phylogenetic tree. Firstly, both prior knowledge and more complete data are employed to construct an initial phylogenetic tree, Then, attribute reduction strategies are applied to get the decision nodes, and the decision model are constructed based on the decision nodes. Finally, the position of the species with high proportion of missing data in the initial phylogenetic tree is determined by the constructed decision model, and the phylogenetic tree is constructed using species grafting technology. The comprehensive experimental results show that when the proportion of morphological missing data of a single species is greater than 10%, the average species accuracy with the proposed method is about 10% higher than the Maximum Parsimony（MP）.

Key words: phylogenetic tree construction, morphological missing data, attribution reduction, prior decision model