基于Vague集模糊推理的多评价指标模糊决策方法

Multicriteria Fuzzy Decision Making Method by Using Approximate Reasoning Based on Vague Set

目前在智能领域中对Vague集的研究已越来越广泛与深入,并运用于决策问题中,有学者已把Vague集用于多评价指标的模糊决策中,但其决策方法在某些时候却难以得到目标。为此,本文提出了一个基于Vague集模糊推理的多评价指标模糊决策方法。在这个方法中,从基于Vague集的模糊推理的观点来看待模糊决策问题。将评价指标和候选方案之间的关系用一组基于Vague集的推理规则来表示,将决策者的要求用一组Vague集来表示,经过模糊推理等过程最后得到决策结果。然后还给出了一个实例说明这种多评价指标模糊决策方法。这个基于Vague集模糊推理的多评价指标模糊决策方法的提出为决策系统提供了一个有用的工具。

At present in the area of intelligence it is more and more widely and deeply to research Vague set. Vague set is being used into decision making. Some scholars have researched multicriteria fuzzy decision making methods by using Vague set theory.But the result does not be gotten by them in some conditions. Hence, we propose a multicriteria fuzzy decision making method by using approximate reasoning based on vague set. The fuzzy decision making is treated in the view of approximate reasoning based on vague set. The relation between multicriteria and alternative are represented to a group of reasoning rules, requirements of decision maker are represented to a vague set. Through approximate reasoning and some other procedures we can get best choice from the alternatives. And then an example is also presented to illustrate the application of the proposed multicriteria fuzzy decision making method by using approximate reasoning based on vague set. This multicriteria fuzzy decision making method by using approximate reasoning based on vague set provides a useful tool for multicriteria fuzzy decision making system.