Title :
An Integrated Framework for Learning Fuzzy Cognitive Map using RCGA and NHL Algorithm
Author :
Zhu YanChun ; Zhang Wei
Author_Institution :
Sch. of Econ. & Bus. Adm., Beijing Normal Univ., Beijing
Abstract :
The methodology of developing fuzzy cognitive map (FCM) still exhibited weaknesses. This paper investigated a hybrid framework for learning FCM, which was combined of the real-coded genetic (RCGA) algorithm and nonlinear Hebbian learning (NHL) algorithm. This approach combined the synergistic theories of neural networks and fuzzy logic. The hybrid algorithm is introduced, presented and applied successfully in real-world problems of partner selection.
Keywords :
Hebbian learning; cognitive systems; fuzzy logic; genetic algorithms; neural nets; fuzzy cognitive map; fuzzy logic; neural networks; nonlinear Hebbian learning algorithm; partner selection; real-coded genetic algorithm; Collaboration; Data mining; Finance; Flowcharts; Fuzzy cognitive maps; Fuzzy logic; Genetic algorithms; Hebbian theory; Mathematical model; Neural networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2527
