Balance-Based Fuzzy Logic Approach for the Classification of Liver Diseases Due to Hepatitis C Virus
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Fuzzy logic can be successfully applied in the many fields of artificial intelligence, such as control, classification, clustering, and prediction. However, assigning the optimal values for the control parameters and designing the optimal fuzzy rule table is vital to the method’s performance. Besides, increasing the number of variables increases the solution space combinatorically. This study proposes a novel method that uses the fuzzy logic approach. The method positions the inputs and outputs on the unit circle and aims to balance them at the circle origin. The efficiency and performance of the method were investigated in the problem of classification of Liver Diseases Due to Hepatitis C Virus. The results prove that the method can design successful systems for classification problems. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
Anahtar Kelimeler
Evolutionary fuzzy classifier, Genetic algorithm, Traction power system
Kaynak
Studies in Fuzziness and Soft Computing
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
423
