Comprehensive Evaluation of Aircraft Cargo Hold Loading Schemes Based on Large Language Models and Improved Entropy Weighting Method

ZHANG Changyong; WU Yi

doi:10.19554/j.cnki.1001-3563.2026.01.014

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (1) : 122-131. DOI: 10.19554/j.cnki.1001-3563.2026.01.014

Comprehensive Evaluation of Aircraft Cargo Hold Loading Schemes Based on Large Language Models and Improved Entropy Weighting Method

ZHANG Changyong, WU Yi

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Abstract

The work aims to propose a hybrid evaluation model fusing subjective priors with objective data insights to provide rational decision support to address the complexity of Multi-Attribute Decision Making (MADM) in aircraft cargo hold loading evaluation and the limitations of existing weighting methods, specifically the subjective bias from excessive reliance on expert experience and the neglect of decision-maker preferences in purely data-driven approaches. Firstly, Large Language Models (LLMs) were employed to construct a "virtual expert committee," utilizing prompt engineering to extract subjective weights across diverse dimensions and scenarios. Secondly, to mitigate the sensitivity of the traditional Entropy Weight Method (EWM) to data distribution, an Improved Data Preprocessing Entropy Weighting method (IDPEW) was introduced, determining objective weights by coupling indicator discernibility with entropy equilibrium. Finally, a comprehensive evaluation function was constructed by integrating subjective and objective weights to rank loading schemes. Experimental results indicates that the LLM-simulated committee subjectively prioritizes "Load Factor" (subjective weight 0.225 0), whereas IDPEW objectively identified "Lateral Imbalance" (subjective weight 0.248 1) as having the highest discernibility. The hybrid model (α=0.5) effectively balanced these preferences, accurately identifying the optimal scheme among 24 candidates and demonstrating robustness in complex scenarios. In conclusion, this study innovatively leverages LLMs for the low-cost acquisition of expert priors and enhances objective weighting precision via IDPEW. By overcoming the limitations of single-weighting approaches, the proposed model offers a novel paradigm featuring both interpretability and practicality for the scientific evaluation of aircraft cargo hold loading.

Key words

aircraft cargo hold loading / multi-attribute decision making / large language model / subjective weighting / entropy weight method / hybrid weighting

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ZHANG Changyong, WU Yi. Comprehensive Evaluation of Aircraft Cargo Hold Loading Schemes Based on Large Language Models and Improved Entropy Weighting Method[J]. Packaging Engineering. 2026, 47(1): 122-131 https://doi.org/10.19554/j.cnki.1001-3563.2026.01.014

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