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A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method
16 references·16 citing·24 second hopsampled
A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)A novel bankruptcy prediction model based…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy (2006)A real-valued genetic algorit…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Genetic programming and rough…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Business failure prediction using rough sets (1999)Business failure prediction u…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction (2024)Survey, classification and cr…The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh (2021)The implication of machine le…Bankruptcy prediction using fuzzy convolutional neural networks (2021)Bankruptcy prediction using f…Corporate failure prediction models in the twenty-first century: a review (2020)Corporate failure prediction …A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)A bibliometric study on intel…NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier (2017)NS-k-NN: Neutrosophic Set-Bas…Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Hybrid genetic algorithm and …An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)An Effective Computational Mo…A Global Model for Bankruptcy Prediction (2016)A Global Model for Bankruptcy…The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches (2015)The performance of corporate …FORECASTING CORPORATE FINANCIAL PERFORMANCE USING SENTIMENT IN ANNUAL REPORTS FOR STAKEHOLDERS’ DECISION-MAKING (2014)FORECASTING CORPORATE FINANCI…Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction (2012)Multiple extreme learning mac…Credit risk assessment and decision making by a fusion approach (2012)Credit risk assessment and de…Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation (2012)Bankruptcy prediction using S…Assessing methodologies for intelligent bankruptcy prediction (2012)Assessing methodologies for i…Simple instance selection for bankruptcy prediction (2011)Simple instance selection for…Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Designing a neural network for forecasting financial and economic time series (1996)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction

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277 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2002Genetic programming and rough sets: A hybrid approach to bankruptcy classification219 cited
  • Cited by

    • 2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited
    • 2014FORECASTING CORPORATE FINANCIAL PERFORMANCE USING SENTIMENT IN ANNUAL REPORTS FOR STAKEHOLDERS’ DECISION-MAKING98 cited
    • 2019A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms97 cited
    • 2017NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier96 cited
    • 2015The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches84 cited
    • 2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach82 cited
    • 2012Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation79 cited
    • 2016A Global Model for Bankruptcy Prediction74 cited
    • 2011Simple instance selection for bankruptcy prediction70 cited
    • 2020Corporate failure prediction models in the twenty-first century: a review68 cited
    • 2021Bankruptcy prediction using fuzzy convolutional neural networks60 cited
    • 2021The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh55 cited
    • 2012Credit risk assessment and decision making by a fusion approach54 cited
    • 2024Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction53 cited
    • 2012Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction53 cited
    • 2012Assessing methodologies for intelligent bankruptcy prediction53 cited