ArticleScientific reports2025
Enhancing smart energy load management in industrial steel production using the fermatean fuzzy FUCA multi-criteria analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Attaining sustainability by navigating challenges in the transition to sustainable buildings using Fermatean fuzzy AHP.Scientific reports · 2026Article
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2 authors.
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Abstract
The bottom line in industrial steel manufacturing is effective energy load management to lower the cost and increase sustainability. This paper develops a new decision-making model based on the Fermatean Fuzzy FUCA (FF-FUCA) approach for prioritizing innovative energy load strategies in the face of uncertainty. There were fifteen options considered under various benefit and cost parameters, along with professional opinion. The findings show that the suggested strategy helps determine the most effective and feasible strategies, and deselects the alternatives that are more expensive or less feasible. Sensitivity analysis was used to ensure the rankings remain stable in the face of changes in decision-makers' weights and criteria weights. Benchmarking against existing FF multi-criteria decision-making (MCDM) methods showed the high reliability and balance of FF-FUCA. The study is practical in advising managers in the steel industry on selecting cost-effective, sustainable energy solutions, as well as augmenting fuzzy MCDM by demonstrating the improved performance of FF-FUCA in decision-making processes within complex industrial settings.
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