A study on self-organization system based on Fuzzy Cognitive Map method

Author

Haoli, Ren ; Mingjun, Wang

Author_Institution

Dept. of Inf. Equip., Acad. of Equip., Beijing, China

Volume

3

fYear

2012

fDate

25-27 May 2012

Firstpage

609

Lastpage

612

Abstract

Nowadays the Self-Organization (SO) system is becoming to be a hot topic. In this paper, the SO systems Characteristics are studied, and some problems are brought forward related with the SO system research. A Fuzzy Cognitive Map (FCM) method provides a powerful framework for its developing evaluating. In FCM, the concepts such as actions, events, and action motivators are represented as nodes connected in a causal web. The Self-Organization comes from the interactions between the concepts and is encoded in the overall architecture. The nodes are influenced between each other by their weight influence. In this paper, a new method is introduced using FCM to evaluate the SO system.

Keywords

cognitive systems; fuzzy reasoning; fuzzy set theory; FCM method; action motivator; causal Web; fuzzy cognitive map method; self-organization system; Aerospace electronics; Computational modeling; Fuzzy cognitive maps; Humans; Radiation detectors; Robot sensing systems; Vehicles; SO system; fuzzy cognitive map; measure of performance; system analysis and integrate;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4673-0088-9

Type

conf

DOI

10.1109/CSAE.2012.6273026

Filename

6273026