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T1  - Improved behavioral analysis of fuzzy cognitive map models 
SN  -  /  
UR  - http://hdl.handle.net/10138/310423 
T3  - Lecture Notes in Computer Science 
A1  - Hatwagner, M.F.; Vastag, G.; Niskanen, V.A.; Kóczy, L.T. 
A2  - Rutkowski, Leszek; Scherer, Rafał; Korytkowski, Marcin; Pedrycz, Witold; Tadeusiewicz, Ryszard; Zurada, Jacek M. 
PB  - Springer 
Y1  - 2018 
LA  - eng 
AB  - Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex systems and their interconnections. The popularity of FCMs is mostly based on their simple system representation, easy model creation and usage, and its decision support capabilities. The preferable way of model construction is based on historical, measured data of the investigated system and a suitable learning technique. Such data are not always available, however. In these cases experts have to defin... 
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KW  - Artificial intelligence; Behavioral research; Decision support systems; Evolutionary algorithms; Fuzzy rules; Large scale systems; Multiobjective optimization; Risk perception; Soft computing; Uncertainty analysis, Bacterial evolutionary algorithms; Banking; Behavioral analysis; Fuzzy cognitive map; Fuzzy cognitive maps (FCMs); Learning techniques; Model uncertainties; Weight modifications, Cognitive systems; 113 Computer and information sciences 
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