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<p>To achieve the requirements of space optical remote sensors, choosing the suitable materials is crucial in structural design. This paper introduces a multi-attribute decision-making criterion for material selection based on the game theoretic method, which integrates subjective weights from the Analytic Hierarchy Process (AHP) with objective weights from the Entropy Weight method (EWM) to derive comprehensive assignment coefficients. These coefficients are then used to define the weights of each material property. Additionally, the game theoretic method is employed to resolve discrepancies between the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Gray Relation Analysis (GRA) methods, allowing for the ranking of materials based on high-performance compatibility. To demonstrate the effectiveness of this material decision-making approach, the selection process is illustrated using a focal plane baseplate as a case study. Initially, the link between common material properties of space remote sensors and their structural performance is established. Subsequently, a decision-making model for material performance is developed, leading to successful application of the material selection results to the focal plane baseplate. The study indicates that the proposed multi-attribute decision criterion based on game theoretic offers a valuable method for material selection, which can guide the selection process for optical remote sensors.</p>

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Multi-criteria decision-making based on game theoretic approach for materials selection strategy in optical remote sensor

  • 期刊论文

  • 发表日期：

    2025年10月24日

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  • Wang Jianing,
  • Xue Zhipeng,
  • Zhang Lei,
  • Chen Shunfa,
  • Xiao Haowei,
  • Liu Chang

摘要

To achieve the requirements of space optical remote sensors, choosing the suitable materials is crucial in structural design. This paper introduces a multi-attribute decision-making criterion for material selection based on the game theoretic method, which integrates subjective weights from the Analytic Hierarchy Process (AHP) with objective weights from the Entropy Weight method (EWM) to derive comprehensive assignment coefficients. These coefficients are then used to define the weights of each material property. Additionally, the game theoretic method is employed to resolve discrepancies between the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Gray Relation Analysis (GRA) methods, allowing for the ranking of materials based on high-performance compatibility. To demonstrate the effectiveness of this material decision-making approach, the selection process is illustrated using a focal plane baseplate as a case study. Initially, the link between common material properties of space remote sensors and their structural performance is established. Subsequently, a decision-making model for material performance is developed, leading to successful application of the material selection results to the focal plane baseplate. The study indicates that the proposed multi-attribute decision criterion based on game theoretic offers a valuable method for material selection, which can guide the selection process for optical remote sensors.