线性分配法是一种单人多属性决策方法,Bernardo方法是在线性分配法基础上的群决策方法。通过引入模糊大于关系与权重的思想对两种方法进行了改进,进一步细化了方案排序的优劣程度,避免了一些模棱两可的情况甚至错误情况出现,提高了两种方法的准确性。另外在Bernardo方法中引入加权重的ris,使之更加合理。从改进线性分配法谈起,讨论了改进多人多准则的Bernardo方法,并对两种改进方法分别进行示例研究,最后进行了总结。
Linear distribution method is a method for multi-attribute decision making by one person. Bernardo method is based on linear distribution method but for group decision-making. The paper improved the two methods by introducing fuzzy number operation and weight to thin the degree of alternative ranking which could avoid getting the ambiguous result. It also improved the ris in Bernardo method by introducing weight to it. The paper first improved the linear distribution method, then extended to Bernardo method, and examples followed each method. Finally, a conclusion is given.