基于模糊集的MCDM方法的供应商选择

Dongfeng Zhang, Jinlong Zhang, Benhai Yu
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引用次数: 7

摘要

在采购决策的实践中,必须考虑许多定量和定性的因素,以及这些因素之间的模糊性和不精确性,使得决策过程更加复杂和非结构化。与模糊集理论一样,模糊集理论也是处理不确定信息的方法之一。由于模糊集比模糊集能提供更多的信息,因此在具有不确定性系统的数学分析中具有优越性。本文提出了一种基于模糊集的供应商选择方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supplier selection using MCDM approach based on Vague Set
In the practice of purchasing decision making, many quantitative and qualitative factors must be considered, as well as the vagueness and imprecision among them, which makes the decision process more complicated and unstructured. Like fuzzy sets theory, vague sets theory is one of the methods that are used to deal with uncertain information. Since vague sets can provides more information than fuzzy sets, it is superior in mathematical analysis of systems with uncertainty. In this paper, a new approach based on vague sets is proposed to deal with supplier selection problem.
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