A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory

BAŞKAN E., Sahin R.

2025 International Conference on Intelligent and Fuzzy Systems-INFUS-Annual, İstanbul, Türkiye, 29 - 31 Temmuz 2025, cilt.1528, ss.76-84, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1528
  • Doi Numarası: 10.1007/978-3-031-97985-9_10
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.76-84
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for managing uncertainty in decision making by representing knowledge in linguistic terms. However, effectively integrating multiple uncertain sources requires a strong probabilistic approach. To overcome this challenge, we propose a method to derive BPA values directly from linguistic terms, ensuring compatibility with the DST fusion rule. We then use the Dempster-Shafer combination rule to combine information from various sources, thereby improving the reliability of the decision-making process.