September 5, 2025SystemsOpen Access

A Novel Combined Hybrid Group Multi-Criteria Decision-Making Model for the Selection of Power Generation Technologies

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Significant preference was shown for renewable technologies, emphasizing the rising importance of sustainability in energy.
Results indicated that photovoltaic and wind technologies ranked highest, while coal ranked lowest among alternatives evaluated.
Utilizing a hybrid approach, this analysis integrated AHP for weight determination and fuzzy VIKOR for ranking based on expert evaluations.
The modular design of this method enhances collaborative evaluations of various energy mixes, suggesting a pathway for future energy policy.

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Implication

This analysis ranks renewable and non-renewable technologies in power generation using multi-criteria decision-making methods, highlighting their feasibility.

Cite This Study

Rivero-Iglesias et al. (2025) studied this question.

synapsesocial.com/papers/68c23887b210217d647778dd https://doi.org/10.3390/systems13090742

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Implication

This analysis ranks renewable and non-renewable technologies in power generation using multi-criteria decision-making methods, highlighting their feasibility.

A Novel Combined Hybrid Group Multi-Criteria Decision-Making Model for the Selection of Power Generation Technologies

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Discussion

Implication

Cite This Study

A Novel Combined Hybrid Group Multi-Criteria Decision-Making Model for the Selection of Power Generation Technologies

Key Points

Discussion

Implication

Cite This Study

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