不完全赋值的第二类语义多准则模型分析方法

Second kinds of semantic multi-criteria model analysis methods for incomplete assignment

针对多准则模型研究内容的不同,提出了第二类语义多准则模型.在赋值不完全条件下,研究了准则重要性分析方法.首先,讨论了第一类和第二类模型之间的差异,在此基础上,得到了假随机误差服从极值分布定,随机误差与确定性部分构成了准则重要程度.通过准则发生的概率表达式,建立求解方程组,进而得到准则权重.解决了片段语义数据中难以有效分析准则重要性的难题.

In view of the different research content of the multi-criteria model, the second kind of semantic multi-criteria model is proposed. Under the condition of incomplete assignment, the analytical method of criterion importance is studied. First, the differences between the first and second models are discussed. On this basis, it is assumed that the random error obeys the extreme value distribution, and the random error and the deterministic part constitute the important degree of the criterion. Through the probability expression of the criterion, the solution equations are established, and then the weight of the criterion is obtained. It solves the problem that it is difficult to effectively analyze the importance of the criteria in fragment semantic data.