Aesthetical concept for human-computer interaction using fuzzy knowledge base clustering
This paper attempts to reduce the complexity of aesthetical conceptual system rule base by using fuzzy clustering method to make our decision making nearer to human computer interaction ideals by using the concept of similarity. Where we have a rule base of our aesthetical concept called Aesthetical...
Egile Nagusiak: | Mashinchi, M. Reza, Mashinchi, M. Hadi, Selamat, Ali |
---|---|
Formatua: | Conference or Workshop Item |
Hizkuntza: | English |
Argitaratua: |
2007
|
Gaiak: | |
Sarrera elektronikoa: | http://eprints.utm.my/3121/1/Reza-CITA-paper180-1.pdf |
Antzeko izenburuak
-
Aesthetical decision making of music composer using ANFIS
nork: Mashinchi, M. Reza, et al.
Argitaratua: (2007) -
A connectionist system approach for learning logic programs
nork: Shamsuddin, Siti Mariam, et al.
Argitaratua: (2008) -
Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control
nork: Al-Himyari, Bayadir Abbas, et al.
Argitaratua: (2014) -
Fuzzy inference system model from non-fuzzy clustering output
nork: Hamzah, Nur Atiqah, et al.
Argitaratua: (2019) -
A new fuzzy back-propagation learning method based on derivation of min-max function tuned with genetic algorithms
nork: Mashinchi, Mohammad Hadi
Argitaratua: (2007)