A fuzzy neural tree based on likelihood
IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, İstanbul, Türkiye, 2 - 05 Ağustos 2015, cilt.2015-November, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2015-November
- Doi Numarası: 10.1109/fuzz-ieee.2015.7337971
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: evolutionary computation, Fuzzy logic, knowledge modeling, likelihood, neural tree, probability possibility
- Maltepe Üniversitesi Adresli: Hayır
Özet
A novel type of fuzzy neural system is presented. It involves the neural tree concept and is termed as fuzzy neural tree (FNT). Each tree node uses a Gaussian as a fuzzy membership function so that the approach uniquely is in align with both the probabilistic and possibilistic interpretations of fuzzy membership, thereby presenting a novel type of network. The tree is structured by the domain knowledge and parameterized by likelihood. The FNT is described in detail pointing out its various potential utilizations, in which complex modeling and multi-objective optimization are demanded. One of such utilizations concerns design. This is exemplified and its effectiveness is demonstrated by computer experiments in the realm of Architectural design.