Fuzzy集理论的相似优先比方法用于确定相似对象优先顺序问题。虽然方法已经比较简单,实际应用方面又有许多成功的例子,但是在实施该方法的计算步骤时,对于多样本、多特征因子的问题,其计算工作量仍然很大。可供唯一的抉择就是编写计算程序由计算机实现。编写计算程序时,主要解决的问题是对相似优先比矩阵R,如何正选择λ阀值。按照文[1,2]的做法,λ值从大到小取值。若λ取值太 The similarity-first ratio method of fuzzy set theory is used to determine the priority of similar objects. Although the method has been relatively simple and there are many successful examples in practical application, the computational workload is still large for the problem of multiple samples and multiple feature factors when implementing the calculation steps of the method. The only choice available is to write a calculation program that is implemented by the computer. The main problem to be solved when writing a calculation program is how to choose the lambda threshold for a similar priority matrix R. According to the [1,2] approach, λ value from large to small value. If λ is too large