Title :
Cellular fuzzy networks
Author :
Oskooyee, Koosha Sadeghi ; Kashani, Mohammad Mansour Riahi ; Jangjou, Mehrdad
Author_Institution :
Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
A formal representation of the mutual information processing among the cognitive processes of the brain provides a real impression of the mechanisms of a Natural Intelligence (NI) system. The nature of information processing in the human brain is fuzzy. In this article, a new formal model, namely Cellular Fuzzy Networks (CFNs), is introduced to model the real characteristics of Nl-Systems and especially the human mind. CFNs can effectively manipulate the interactions among natural concepts in an Nl-system. The detailed definitions of CFNs and related theorems are provided. Then, CFNs are exploited to model a feasibility analysis of the human brain in the cognitive process of decision making. Finally, it is posited that CFNs have great potential to be applied in modeling the complex interrelationships in large-scale natural systems.
Keywords :
brain; cellular neural nets; cognition; fuzzy neural nets; Nl-systems; cellular fuzzy networks; cognitive processes; complex interrelationships; decision making; formal model; formal representation; human brain; human mind; large-scale natural systems; mutual information processing; natural intelligence system; Artificial intelligence; Brain modeling; Cognitive informatics; Fuzzy set theory; Humans; Mathematical model; Psychology; Cognitive informatics; cellular fuzzy networks; fuzzy sets theory; human mind; natural intelligence system;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007340
