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<p>In the present era, the adoption of hydrogen fuel plays a crucial role in the development of eco-friendly and sustainable transportation, where the decision-making process frequently faces challenges due to uncertainty in the form of incompleteness, vagueness, and impreciseness in the information. To address these types of challenges and conflicts in the information, the present communication introduces the utilization of a new “<i>p,q,r-cubic quasi-rung neutrosophic fuzzy set (p,q,r-CQNFS)</i>,” and related “<i>distance and cosine similarity measures</i>” which are synchronized with the TOPSIS “<i>Technique for Order of Preference by Similarity to Ideal Solution</i>” method to investigate the decision-making problem under consideration in a systematic and enhanced way. This provides a more profound understanding of various choices for adopting hydrogen fuel with their suitability and priority. The proposed methodological approach has further been combined with a practical case study on hydrogen fuel adoption in transportation, which has been presented to illustrate the usefulness of the proposed method. The obtained results demonstrate that the presented model provides enhanced accuracy, flexibility, and reliability in the decision-making process. Sensitivity and comparative analysis have also been carried out to validate the effectiveness of the proposed approach. It is firmly believed that the present work would be helpful to policymakers and industry stakeholders in making informed decisions and supporting the transition toward cleaner and greener transportation systems.</p>

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Multi-criteria decision-making for hydrogen fuel adoption in transportation using enhanced TOPSIS and novel p,q,r-CQNFS framework

  • 期刊论文

  • 发表日期：

    2026年1月16日

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  • Bhavna Mahant,
  • Rakesh Kumar Bajaj,
  • Vikas Baghel

摘要

In the present era, the adoption of hydrogen fuel plays a crucial role in the development of eco-friendly and sustainable transportation, where the decision-making process frequently faces challenges due to uncertainty in the form of incompleteness, vagueness, and impreciseness in the information. To address these types of challenges and conflicts in the information, the present communication introduces the utilization of a new “p,q,r-cubic quasi-rung neutrosophic fuzzy set (p,q,r-CQNFS),” and related “distance and cosine similarity measures” which are synchronized with the TOPSIS “Technique for Order of Preference by Similarity to Ideal Solution” method to investigate the decision-making problem under consideration in a systematic and enhanced way. This provides a more profound understanding of various choices for adopting hydrogen fuel with their suitability and priority. The proposed methodological approach has further been combined with a practical case study on hydrogen fuel adoption in transportation, which has been presented to illustrate the usefulness of the proposed method. The obtained results demonstrate that the presented model provides enhanced accuracy, flexibility, and reliability in the decision-making process. Sensitivity and comparative analysis have also been carried out to validate the effectiveness of the proposed approach. It is firmly believed that the present work would be helpful to policymakers and industry stakeholders in making informed decisions and supporting the transition toward cleaner and greener transportation systems.