Yazarlar

• Başkan, Elif(1)
• Cebi, S.(1)
• Cevik Onar, S.(1)
• Kahraman, C.(1)
• Otay, I.(1)
• Oztaysi, B.(1)
• Tolga, C.(1)
• Ucal Sari, I.(1)
• Şahin, Rıdvan(1)

• BildiriYalnız künye2025Scopus SJRQ4/r/gumushane/11748
  A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory

  Başkan, Elif; Şahin, Rıdvan; Kahraman, C.; Oztaysi, B.; Cebi, S.; Cevik Onar, S.; Tolga, C.; Ucal Sari, I.; Otay, I.

  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.

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