An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction


This study proposes an efficient non-parametric classifier for bankruptcy prediction using an adaptive fuzzy k -nearest neighbor (FKNN) method, where the nearest neighbor k and the fuzzy strength parameter m are adaptively specified by the particle swarm optimization (PSO) approach. In addition to performing the parameter optimization for FKNN, PSO is… (More)
DOI: 10.1007/978-3-642-20841-6_21


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