Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms

European Journal of Operational Research

Volumn 177, Issue 1, 2007, Pages 540-555

  Hoffmann, F ^a   Baesens, B ^b,c   Mues, C ^b,c   Van Gestel, T ^d   Vanthienen, J ^c  

^a TU DORTMUND UNIVERSITY   (Germany)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d Dexia Group   (Belgium)

Author keywords

Classification; Credit scoring; Data mining; Fuzzy sets

Indexed keywords

EVOLUTIONARY ALGORITHMS; FUNCTIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

CLASSIFICATION; CREDIT SCORING; NEUROFUZZY CLASSIFIER;

FUZZY SETS;

EID: 33750483917     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2005.09.044     Document Type: Article

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