Fuzzy clustering using salp swarm algorithm for automobile insurance fraud detection

In this paper, a hybrid fuzzy clustering techniques using Salp Swarm Algorithm (SSA) is proposed. The proposed fuzzy clustering method is used to optimize the cluster centroids obtained as an under sampling method. The performance of the proposed fuzzy clustering method is compared with some well-kn...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2019-01, Vol.36 (3), p.2333-2344
Hauptverfasser:	Majhi, Santosh Kumar, Bhatachharya, Subho, Pradhan, Rosy, Biswal, Shubhra
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automobile insurance Centroids Classifiers Clustering Decision support systems Hybrid vehicles Insurance Insurance fraud Manufacturing cells Outliers (statistics) Performance measurement Sensitivity analysis
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