当前位置: X-MOL 学术Math. Probl. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Weight Analysis for Multiattribute Group Decision-Making with Interval Grey Numbers Based on Decision-Makers’ Psychological Criteria
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2020-07-06 , DOI: 10.1155/2020/1878720
Sandang Guo 1, 2 , Junjuan Liu 1 , Yingjie Yang 2
Affiliation  

To address the problem of multiattribute group decision-making with interval grey numbers, decision matrices are adjusted using kernels of interval grey numbers to reduce the psychological effects of decision-makers. The comprehensive weights of attributes are obtained by aggregating the subjective weights with objective weights, which are calculated based on the accuracy and difference of attributes. Considering the consistent, best, and worst decision-making abilities of decision-makers, grey incidence models are established to obtain the consistency weights and individual bipolar weights of decision-makers; then, the comprehensive weights of decision-makers are determined. A clustering approach of interval grey numbers is presented, and overall evaluations are obtained. Finally, an example is provided and its validity is tested to verify the feasibility of the proposed method.

中文翻译:

基于决策者心理准则的具有区间灰数的多属性群决策权重分析

为了解决带有间隔灰阶数的多属性组决策问题,使用间​​隔灰阶数核调整决策矩阵,以减少决策者的心理影响。属性的综合权重是通过将主观权重与客观权重相加得出的,而客观权重是根据属性的准确性和差异来计算的。考虑到决策者的一致,最佳和最差决策能力,建立了灰色关联度模型,以获取决策者的一致性权重和个体双极性权重。然后,确定决策者的综合权重。提出了区间灰数的聚类方法,并进行了总体评价。最后,
更新日期:2020-07-06
down
wechat
bug