Exploring the Role of Fuzzy Methods in Enhancing Artificial Intelligence Applications in Accounting


Çakır E., Tolga B.

International Conference on Intelligent and Fuzzy Systems (INFUS 2025), İstanbul, Türkiye, 29 - 31 Temmuz 2025, ss.301-310, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1007/978-3-031-98565-2_33
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.301-310
  • Galatasaray Üniversitesi Adresli: Evet

Özet

The integration of Artificial Intelligence (AI) into accounting practices has significantly transformed the field, fostering advancements in decision-making, automation, and data analysis. One critical component enhancing AI’s effectiveness in accounting is fuzzy logic, which addresses the uncertainty and imprecision inherent in financial data. This review explores the role of fuzzy methods in improving AI applications within accounting, focusing on how fuzzy logic techniques are applied to areas such as financial forecasting, risk assessment, fraud detection, managing cash flow, invoice processing and strategic management. Through fuzzy logic, AI can handle complex, incomplete, and ambiguous data, improving the accuracy and reliability of these applications. The review highlights both the benefits and challenges of integrating fuzzy systems with AI, while identifying emerging trends and future opportunities for innovation in the intersection of fuzzy methods and AI within the accounting sector.