基于博弈論權(quán)重集化模型的多屬性群決策VIKOR方法

摘要： 對屬性權(quán)重未知的混合型多屬性群決策問題,文章提出了一種擴(kuò)展的VIKOR方法。首先定義了一種新的不確定語言變量距離,用于解決不確定語言變量轉(zhuǎn)化時(shí)的信息丟失問題。利用博弈論權(quán)重集化模型對決策屬性的主觀和客觀權(quán)重進(jìn)行融合,從而得到其組合權(quán)重。最后通過實(shí)例驗(yàn)證了方法的有效性,并采用比較分析說明了該方法的優(yōu)越性。
This paper proposes an extended VIKOR method for hybrid multi-attribute decision-making problems with unknown attribute weights. Firstly, the paper defines a new uncertain linguistic variable distance to reduce information loss during uncertain language variable transformation. And then the paper uses game theory weight set model to fuse the subjective and objective weight of decision attributes so as to obtain the combined weight. Finally, the paper illustrates the effectiveness of the proposed approach by a numerical example, and the comparative analysis result demonstrates the superiority of the method.