Selection of Biomass Resources with Fuzzy Multi-Criteria Decision-Making Methods: Alternatives for Sustainable Energy Production


DEMİR G.

Journal of Operations Intelligence, cilt.3, sa.1, ss.161-179, 2025 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.31181/jopi31202537
  • Dergi Adı: Journal of Operations Intelligence
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.161-179
  • Anahtar Kelimeler: Aggregation operator, Biomass resources, Decision-making, Fuzzy set, RAWEC, Renewable energy, Sustainability, WENSLO
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Selecting the most sustainable and efficient biomass resource for energy production requires a strategic multi-criteria decision-making approach. This study evaluates four biomass alternatives—plant-based, forest/wood-based, animal-based, and urban/industrial waste biomass—across economic, environmental, technical, and social dimensions, using twelve sub-criteria. The Fuzzy Bonferroni Aggregation Operator consolidated data, while the Fuzzy Weight by Envelope and Slope (F-WENSLO) method prioritized main and sub-criteria, and the Fuzzy Ranking Alternatives with Weights of Criterion (F-RAWEC) method ranked alternatives. Results identified animal-based biomass (Qᵢ = 1.1228) as the optimal choice due to its superior energy efficiency and economic benefits, followed by plant-based (Qᵢ = 1.0989), forest/wood-based (Qᵢ = 1.0919), and urban/industrial waste biomass (Qᵢ = 1.0848). The latter’s low ranking reflects environmental and compatibility challenges. The study underscores the need for holistic biomass selection, balancing economic, technical, environmental, and social factors to inform sustainable energy policies.