September 10, 2025Interdisciplinary Journal of Information Knowledge and ManagementOpen Access

Integrating Fuzzy AHP and GRA for Strategic Evaluation and Decision-Making in Renewable Energy Technologies

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Authors

FTFadoua TamtamUniversité Ibn Zohr ATAmina TourabiUniversité Ibn Zohr

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Implication

Integration of fuzzy ahp and grey relational analysis improves decision-making in renewable energy technologies, suggesting more sustainable practices.

Key Points

The fuzzy ahp-gra methodology significantly enhances decision-making transparency in renewable energy technologies.
RET4 emerged as the optimal renewable energy technology choice, reflecting improved evaluation accuracy and criteria insights.
Application of fuzzy ahp to weight selection criteria accounts for uncertainty, leading to more informed renewable energy technology rankings.
The framework can be adapted for future research to assess its effectiveness in diverse energy project contexts and sustainability initiatives.

Cite This Study

Tamtam et al. (2025) studied this question.

synapsesocial.com/papers/68c240deb210217d6479d117 https://doi.org/10.28945/5578

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Implication

Integration of fuzzy ahp and grey relational analysis improves decision-making in renewable energy technologies, suggesting more sustainable practices.

Integrating Fuzzy AHP and GRA for Strategic Evaluation and Decision-Making in Renewable Energy Technologies

Discussion

Member takes

Implication

Key Points

Cite This Study

Integrating Fuzzy AHP and GRA for Strategic Evaluation and Decision-Making in Renewable Energy Technologies

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider