Fuzzy neural tree in evolutionary computation for architectural design cognition
IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japonya, 25 - 28 Mayıs 2015, ss.2319-2326, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/cec.2015.7257171
- Basıldığı Şehir: Sendai
- Basıldığı Ülke: Japonya
- Sayfa Sayıları: ss.2319-2326
- Anahtar Kelimeler: cognitive computing, design cognition, evolutionary computation, Fuzzy logic, knowledge modeling, neural tree
- Maltepe Üniversitesi Adresli: Hayır
Özet
A novel fuzzy-neural tree (FNT) is presented. 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. It provides a type of logical operation by fuzzy logic (FL) in a neural structure in the form of rule-chaining, yielding a novel concept of weighted fuzzy logical AND and OR operation. The tree can be supplemented both by expert knowledge, as well as data set provisions for model formation. The FNT is described in detail pointing out its various potential utilizations demanding complex modeling and multi-objective optimization therein. One of such demands concerns cognitive computing for design cognition. This is exemplified and its effectiveness is demonstrated by computer experiments in the realm of Architectural design.