Bipolar Fuzzy Soft Set Theory Applied to Medical Diagnosis
Turkish Journal of Mathematics and Computer Science, cilt.16, sa.2, ss.314-324, 2024 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 16 Sayı: 2
- Basım Tarihi: 2024
- Doi Numarası: 10.47000/tjmcs.1254943
- Dergi Adı: Turkish Journal of Mathematics and Computer Science
- Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.314-324
- Anahtar Kelimeler: Bipolar fuzzy soft sets, decision making, defuzzification, fuzzy numbers
- Kütahya Sağlık Bilimleri Üniversitesi Adresli: Hayır
Özet
The primary objective of this study is to advance Sanchez’s method for medical diagnosis by incorporating fuzzy arithmetic operations. To achieve this, we generalize the existing approach through the application of bipolar fuzzy soft set theory, which enables the identification of two distinct types of medical knowledge within a unified framework. Additionally, we propose a novel decision-making algorithm tailored to this enhanced approach. The application of this algorithm in the medical field is illustrated through practical examples, demonstrating its potential to improve diagnostic processes and decision-making in medical practice.