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.
2019
978-1-7281-4569-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/289511
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