Fuzzy-Rough Instance Selection Combined with Effective Classifiers in Credit Scoring

Abstract

The wrong clusters number or poor starting points of each cluster have negative influence on the classification accuracy in the hybrid classifier based credit scoring system. The paper represents a new hybrid classifier based on fuzzy-rough instance selection, which have the same ability as clustering algorithms, but it can eliminate isolated and… (More)
DOI: 10.1007/s11063-017-9641-3

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