模糊满意关系上的决策

DECISION-MAKING WITH A FUZZY SATISFACTION RELATION

在许多决策问题中,备选方案上的二元优先关系是模糊的。本文分析了基于二元模糊优先关系上的奥尔洛夫斯基(Orlovsky)算法。该算法中,具有最大的不劣于程度的元是最佳元,因此算法存在一些缺陷。本文提出了一种新算法。新算法中,具有最大满意程度的元是最佳元。新算法弥补了 Orlovsky 算法的缺陷。

In most decision-making problems a preference relation in the set of alternativesis of a fuzzy nature.The Orlovsky's decision-making method based on a fuzzy preferencerelation is analyzed.In this method,the element with maximal degree of noninferiority in X is aoptimal element,so there are some defects.A new decision-making method is proposed.Innew method,the element with maximal degree of satisfaction is an optimal element.This me-thod remedies the defects in Orlovsky's method.