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Application of interpretable machine learning models for the intelligent decision
16 references·2 citing·40 second hop
Application of interpretable machine learning models for the intelligent decision (2018)Application of interpretable machine lear…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors (2016)Integrating experts' weights …Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Consensus models for AHP group decision making under row geometric mean prioritization method (2010)Consensus models for AHP grou…Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest (2006)Forecasting Stock Index Movem…A knowledge-based supplier intelligence retrieval system for outsource manufacturing (2004)A knowledge-based supplier in…Maps of Bounded Rationality: Psychology for Behavioral Economics (2003)Maps of Bounded Rationality: …Project risk management: a combined analytic hierarchy process and decision tree approach (2002)Project risk management: a co…Bounded Rationality and Organizational Learning (1999)Bounded Rationality and Organ…A Resource-Based Theory of the Firm: Knowledge Versus Opportunism (1996)A Resource-Based Theory of th…Data Envelopment Analysis: Theory, Methodology, and Applications (1994)Data Envelopment Analysis: Th…Comparing the predictive performance of a neural network model with some traditional market response models (1994)Comparing the predictive perf…Neural network models and the prediction of bank bankruptcy (1991)Neural network models and the…Bounded Rationality and Organizational Learning (1991)Bounded Rationality and Organ…Measuring the efficiency of decision making units (1978)Measuring the efficiency of d…The Measurement of Productive Efficiency (1957)The Measurement of Productive…An XGBoost-Based Three-Stage Prediction Approach for True User Demand of Bike-Sharing Systems Based on Spatio-Temporal Analysis (2025)An XGBoost-Based Three-Stage …An improved extreme gradient boosting approach to vehicle speed prediction for construction simulation of earthwork (2020)An improved extreme gradient …A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Neuroeconomics: How Neuroscience Can Inform Economics (2005)Naturalistic Decision Making (2008)The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks (2012)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Social Choice and Individual Values. 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References

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  • 1957The Measurement of Productive Efficiency16,116 cited
  • 2003Maps of Bounded Rationality: Psychology for Behavioral Economics5,374 cited
  • 1996A Resource-Based Theory of the Firm: Knowledge Versus Opportunism3,145 cited
  • 1991Bounded Rationality and Organizational Learning3,027 cited
  • 1994Data Envelopment Analysis: Theory, Methodology, and Applications2,873 cited
  • 1999Bounded Rationality and Organizational Learning2,021 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2010Consensus models for AHP group decision making under row geometric mean prioritization method501 cited
  • 2016Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors336 cited
  • 1991Neural network models and the prediction of bank bankruptcy301 cited
  • 2006Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest244 cited
  • 2004A knowledge-based supplier intelligence retrieval system for outsource manufacturing171 cited

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  • 2002Project risk management: a combined analytic hierarchy process and decision tree approach140 cited
  • 1994Comparing the predictive performance of a neural network model with some traditional market response models125 cited
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    • 2020An improved extreme gradient boosting approach to vehicle speed prediction for construction simulation of earthwork34 cited
    • 2025An XGBoost-Based Three-Stage Prediction Approach for True User Demand of Bike-Sharing Systems Based on Spatio-Temporal Analysis4 cited