Innovative Approaches to Green Strategy Formulation with a Novel Hybrid AI-Spherical Fuzzy Framework

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GÖKALP Y., ETİ S., YORULMAZ H., YÜKSEL S., DİNÇER H.

International Journal of Advanced Computer Science and Applications, cilt.16, sa.12, ss.360-367, 2025 (ESCI, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 12
  • Basım Tarihi: 2025
  • Doi Numarası: 10.14569/ijacsa.2025.0161234
  • Dergi Adı: International Journal of Advanced Computer Science and Applications
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Compendex, Index Islamicus
  • Sayfa Sayıları: ss.360-367
  • Anahtar Kelimeler: ARAS, Artificial intelligence, Entropy, fuzzy decision-making, green strategy, spherical fuzzy sets
  • Marmara Üniversitesi Adresli: Hayır

Özet

This study aims to establish prioritized strategies for businesses to adopt green strategies. In this framework, literature-based criteria are analyzed through a three-stage model. In the first stage of the analysis, an artificial intelligence (AI)-based decision matrix is created. In the second stage, factors affecting green business strategies are weighted by the Spherical Fuzzy (et SF) Entropy method. In the last stage, the strategies are ranked using the SF ARAS method. The novelty of this study is the integration of AI with SF numbers. Expert opinions can be evaluated by AI with different coefficients according to the knowledge level and experience of the experts. The AI-based decision matrix enables expert weights to differ according to factors such as experience. The findings show that the most important criterion is cost efficiency (weight: 0.2219). According to the analysis results, investments in clean energy projects have a positive impact on this process (Ki:0.9799).