TY - GEN
T1 - Extended fuzzy cognitive maps
AU - Hagiwara, Masafumi
PY - 1992/12/1
Y1 - 1992/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0026989510&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:0026989510
SN - 0780302362
T3 - 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
SP - 795
EP - 801
BT - 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PB - Publ by IEEE
T2 - 1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
Y2 - 8 March 1992 through 12 March 1992
ER -