Cellular fuzzy networks

Author

Oskooyee, Koosha Sadeghi ; Kashani, Mohammad Mansour Riahi ; Jangjou, Mehrdad

Author_Institution

Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran

fYear

2011

fDate

27-30 June 2011

Firstpage

2396

Lastpage

2400

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Conference_Location

Taipei

ISSN

1098-7584

Print_ISBN

978-1-4244-7315-1

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2011.6007340

Filename

6007340