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The global cooperation in asteroid mining based on AHP, entropy and TOPSIS

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  • Fan, Ruilin
  • Zhang, Hanlu
  • Gao, Yi

Abstract

In this paper we introduce an equity evaluation index (EEI) to measure the global equity on asteroid mining, and present a global equity evaluation model by applying the analytic hierarchy process (AHP), entropy weight method and the technique for order preference by similarity to ideal solution (TOPSIS). Based on multi-objective optimization, we provide a global cooperative decision model to allocate the inputs and outputs among countries based on their strengths and demands. Furthermore, we analyze the the trends of EEI of each country under the influence of the outbreak events by using the autoregressive integrated moving average model. Our results show that among all countries with foundations in aerospace, China has the highest EEI while Russia ranks the lowest. Humans mining minerals in a cooperative manner will achieve a win-win situation.

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  • Fan, Ruilin & Zhang, Hanlu & Gao, Yi, 2023. "The global cooperation in asteroid mining based on AHP, entropy and TOPSIS," Applied Mathematics and Computation, Elsevier, vol. 437(C).
    • Handle: RePEc:eee:apmaco:v:437:y:2023:i:c:s0096300322006099
    DOI: 10.1016/j.amc.2022.127535
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    References listed on IDEAS

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    2. Yang Wei & Tetsuo Kidokoro & Fumihiko Seta & Bo Shu, 2024. "Spatial-Temporal Assessment of Urban Resilience to Disasters: A Case Study in Chengdu, China," Land, MDPI, vol. 13(4), pages 1-24, April.
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