The proposed hybrid algorithm aims at defining an FCM by the information carried by a large dataset about a specific problem, taking into consideration the BCO and FPO principles. The link between them is represented by the application of the DB-Scan clustering technique allowing to identify the right number of cluster without knowing it a priopri. The hybridisation highlights the efficacy of the algorithm in estimating the correlations among the factors involved for a specific problem, with low RMSE and computational time, demonstrated by the case study example.
Empower fuzzy cognitive maps decision making abilities with swarm intelligence algorithms / Mazzuto, G.; Stylios, C.. - 2019-:(2019), pp. 2602-2607. (Intervento presentato al convegno 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 tenutosi a ita nel 2019) [10.1109/SMC.2019.8914456].
Empower fuzzy cognitive maps decision making abilities with swarm intelligence algorithms
Mazzuto G.
Primo
Methodology
;
2019-01-01
Abstract
The proposed hybrid algorithm aims at defining an FCM by the information carried by a large dataset about a specific problem, taking into consideration the BCO and FPO principles. The link between them is represented by the application of the DB-Scan clustering technique allowing to identify the right number of cluster without knowing it a priopri. The hybridisation highlights the efficacy of the algorithm in estimating the correlations among the factors involved for a specific problem, with low RMSE and computational time, demonstrated by the case study example.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
