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...

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Pengarang-pengarang Utama: Mashinchi, M. Reza, Mashinchi, M. Hadi, Selamat, Ali
Format: Conference or Workshop Item
Bahasa:English
Diterbitkan: 2007
Subjek-subjek:
Capaian Atas Talian:http://eprints.utm.my/3121/
http://eprints.utm.my/3121/1/Reza-CITA-paper180-1.pdf
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