Scholarlink

<p>The current solutions for weight determination of conflicting stakeholder groups participating in group decisions apply subjective weight allocation to create the overall priority. This paper offers a mathematical solution for the weight allocation by preference vector-distance minimization using the Euclidean metric. The proposed technique has been tested by numerical examples and a real-world case study on an automated vehicle implementation survey. All results show that from the aspect of rank concordance, measured by Kendall W, Spearman’s Rho, and Garuti indices, the new method outperforms the equal weight and the multi-actor multi-criteria method. The proposed weight allocation technique can be beneficial for theoreticians and practitioners of multi-criteria decision-making.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimizing stakeholder weights in group AHP for consensus creation, a contribution to the MAMCA methodology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月14日

查看全文
  • Szabolcs Duleba,
  • István Blahota

摘要

The current solutions for weight determination of conflicting stakeholder groups participating in group decisions apply subjective weight allocation to create the overall priority. This paper offers a mathematical solution for the weight allocation by preference vector-distance minimization using the Euclidean metric. The proposed technique has been tested by numerical examples and a real-world case study on an automated vehicle implementation survey. All results show that from the aspect of rank concordance, measured by Kendall W, Spearman’s Rho, and Garuti indices, the new method outperforms the equal weight and the multi-actor multi-criteria method. The proposed weight allocation technique can be beneficial for theoreticians and practitioners of multi-criteria decision-making.