Performance assessment of logistic regression (LR), artificial neural network (ANN), fuzzy inference system (FIS) and adaptive neuro-fuzzy system (ANFIS) in predicting default probability : the case of a Tunisian Islamic Bank
Nadia Ayed, Khemaies Bougatef
| Year of publication: |
2024
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| Authors: | Ayed, Nadia ; Bougatef, Khemaies |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 64.2024, 3, p. 1803-1835
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| Subject: | Adaptive neuro-fuzzy inference system | Credit scoring | Fuzzy inference system | Islamic banking | Logistic regression | Neural network | Oversampling | Neuronale Netze | Neural networks | Fuzzy-Set-Theorie | Fuzzy sets | Islamisches Finanzsystem | Islamic finance | Kreditwürdigkeit | Credit rating | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Logit-Modell | Logit model | Schätzung | Estimation | Kreditrisiko | Credit risk | Induktive Statistik | Statistical inference |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-023-10496-y [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015143957