Title :
Extended fuzzy cognitive maps
Author :
Hagiwara, Masafumi
Author_Institution :
Dept. of Psychol., Stanford Univ., CA, USA
Abstract :
Fuzzy cognitive maps (FCMs) have been proposed to represent causal reasoning by using numeric processing. They graphically represent uncertain causal reasoning. In the resonant states, there emerges a limit cycle or a hidden pattern, which is a FCM inference. However, there are some shortcomings concerned with knowledge representation in the conventional FCMs. The author proposes extended fuzzy cognitive maps (E-FCMs) to represent causal relationships more naturally. The features of the E-FCMs are nonlinear membership functions, conditional weights, and time delay weights. Computer simulation results indicate the effectiveness of the E-FCMs
Keywords :
cognitive systems; fuzzy logic; inference mechanisms; knowledge representation; uncertainty handling; causal reasoning; causal relationships; conditional weights; extended fuzzy cognitive maps; inference mechanisms; knowledge representation; nonlinear membership functions; numeric processing; time delay weights; uncertainty handling; Artificial intelligence; Computer simulation; Delay effects; Expert systems; Fuzzy cognitive maps; Knowledge representation; Learning; Limit-cycles; Psychology; Resonance;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258761
