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May 16, 2026Energy Conversion and Management XOpen Access

A preference-aware multi-dimensional assessment and fuzzy decision-making approach for hybrid electric-hydrogen storage systems

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Authors

ZSZ X SunDLDa LinXZXi Zhang

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Overview

Randomized trial evaluates a multi-dimensional assessment framework in hybrid storage systems, indicating robust decision-making processes.

Key Points

  • The aim is to develop a comprehensive framework for assessing hybrid electric-hydrogen storage systems using multi-dimensional performance indicators.
  • Established a performance indicator system covering economic, environmental, energy-efficiency, and safety factors.
  • Introduced a hybrid information-processing method based on probabilistic hesitant fuzzy linguistic term sets.
  • Applied an interactive multi-criteria decision-making method using prospect theory.
  • The Adaptive TODIM method shows a standard deviation of 0.3766 and a coefficient of variation of 0.6898 for composite scores.
  • Top-ranked scheme remains optimal across varying weight-fusion coefficients.
  • Assessment results confirm robustness with near-zero elasticity to key behavioral-parameter changes.

Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/6a080ae2a487c87a6a40ce7chttps://doi.org/10.1016/j.ecmx.2026.101942
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