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<p>Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have gradually become a research hotspot in the field of intelligent decision-making due to their advantages of high decision-making accuracy, versatility, and objective evaluation. This study provides a detailed analysis of the challenges in the MAGDM process and evaluates the feasibility of applying IOAs in this context. Specifically, we study the application of IOAs in the MAGDM process and discuss the advantages and limitations across various application scenarios, including the applications of granulating linguistic information, adjusting decision information, optimizing weights, and aggregating decision information. In addition, the development prospects and challenges of IOAs integration with MAGDM are summarized.</p>

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Overview of the application of intelligent optimization algorithms in multi-attribute group decision making

  • 期刊论文

  • 发表日期：

    2025年2月6日

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  • Kaiying Kang,
  • Jialiang Xie,
  • Xiaohui Liu,
  • Honghui Wang

摘要

Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have gradually become a research hotspot in the field of intelligent decision-making due to their advantages of high decision-making accuracy, versatility, and objective evaluation. This study provides a detailed analysis of the challenges in the MAGDM process and evaluates the feasibility of applying IOAs in this context. Specifically, we study the application of IOAs in the MAGDM process and discuss the advantages and limitations across various application scenarios, including the applications of granulating linguistic information, adjusting decision information, optimizing weights, and aggregating decision information. In addition, the development prospects and challenges of IOAs integration with MAGDM are summarized.