Pages that link to "Item:Q1268435"
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The following pages link to A survey of business failures with an emphasis on prediction methods and industrial applications (Q1268435):
Displaying 35 items.
- ELECTRE: A comprehensive literature review on methodologies and applications (Q322390) (← links)
- Genetic programming for the prediction of insolvency in non-life insurance companies (Q706987) (← links)
- Bankruptcy prediction using terminal failure processes (Q726265) (← links)
- A multicriteria approach for rating the credit risk of financial institutions (Q839849) (← links)
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review (Q869139) (← links)
- Decision-making, risk and corporate governance: a critique of methodological issues in bankruptcy/recovery prediction models (Q870149) (← links)
- A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection (Q903023) (← links)
- Prediction of company acquisition in Greece by means of the rough set approach (Q1278063) (← links)
- Business failure prediction using rough sets (Q1296352) (← links)
- Multicriteria decision aid methods for the prediction of business failure (Q1389966) (← links)
- Genetic programming and rough sets: a hybrid approach to bankruptcy classification (Q1600923) (← links)
- Prediction of commercial bank failure via multivariate statistical analysis of financial structures: the Turkish case (Q1780766) (← links)
- Economic and financial prediction using rough sets model (Q1847223) (← links)
- Towards multicriteria clustering: an extension of the \(k\)-means algorithm (Q1876135) (← links)
- Comparing firm failure predictions between Logit, KMV, and ZPP models: Evidence from Taiwan's electronics industry (Q1959134) (← links)
- Forecasting corporate failure using ensemble of self-organizing neural networks (Q2028771) (← links)
- Contagion effects of UK small business failures: a spatial hierarchical autoregressive model for binary data (Q2098076) (← links)
- Extending business failure prediction models with textual website content using deep learning (Q2106750) (← links)
- Cost-sensitive business failure prediction when misclassification costs are uncertain: a heterogeneous ensemble selection approach (Q2183867) (← links)
- Forecasting bankruptcy using biclustering and neural network-based ensembles (Q2241078) (← links)
- Predicting the survival or failure of click-and-mortar corporations: a knowledge discovery approach (Q2503067) (← links)
- Decision-making, risk and corporate governance: new dynamic models/algorithms and optimization for bankruptcy decisions (Q2506356) (← links)
- Bankruptcy theory development and classification via genetic programming (Q2570165) (← links)
- Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey (Q2655605) (← links)
- Forecasting business failure in China using hybrid case-based reasoning (Q3065533) (← links)
- Business failure prediction using the UTADIS multicriteria analysis method (Q3154427) (← links)
- BUSINESS FAILURES AND MACROECONOMIC FACTORS IN THE UK (Q3393942) (← links)
- The influence of the business cycle on bankruptcy probability (Q3438334) (← links)
- MONOTONIC SUPPORT VECTOR MACHINES FOR CREDIT RISK RATING (Q3646177) (← links)
- An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification (Q5302335) (← links)
- Bankruptcy prediction by generalized additive models (Q5430345) (← links)
- A preference disaggregation decision support system for financial classification problems. (Q5932049) (← links)
- A general model for automated business diagnosis (Q5937719) (← links)
- Default probabilities in a corporate bank portfolio: a logistic model approach. (Q5952439) (← links)
- Business failure prediction models: a bibliometric analysis (Q6601662) (← links)
