A granular computing-based approach to credit scoring modeling

Neurocomputing

Volumn 122, Issue , 2013, Pages 100-115

  Saberi, Morteza ^a   Mirtalaie, Monireh Sadat ^a   Hussain, Farookh Khadeer ^b   Azadeh, Ali ^c   Hussain, Omar Khadeer ^d   Ashjari, Behzad ^a  

^a TAFRESH UNIVERSITY   (Iran)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c UNIVERSITY OF TEHRAN   (Iran)

^d CURTIN UNIVERSITY   (Australia)

Author keywords

Artificial neural networks (ANN); Credit lending decision; Data envelopment analysis (DEA); Granular computing; Trust

Indexed keywords

CREDIT CARD INDUSTRY; CREDIT CLASSIFICATION MODEL; CREDIT LENDING DECISION; CREDIT SCORING MODEL; CURRENT CONSTANT; FINANCIAL MARKET; TRAINING AND TESTING; TRUST;

DATA ENVELOPMENT ANALYSIS; MANAGEMENT; MANAGERS; NEURAL NETWORKS;

GRANULAR COMPUTING;

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; DATA ENVELOPMENT ANALYSIS; DECISION SUPPORT SYSTEM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; ONLINE SYSTEM; PRIORITY JOURNAL; SCORING SYSTEM; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VIRTUAL REALITY;

EID: 84884209840     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.05.020     Document Type: Article

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