Hui Li

Orcid: 0000-0002-5822-2795

Affiliations:
  • Nankai University, College of Tourism and Service Management, Tianjin, China
  • Zhejiang Normal University, School of Economics and Management, Jinhua, China (former)


According to our database1, Hui Li authored at least 43 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation.
Expert Syst. Appl., 2023

2022
Efficiency measurement and productivity progress of regional green technology innovation in China: a comprehensive analytical framework.
Technol. Anal. Strateg. Manag., 2022

2021
Cross-efficiency intervals integrated ranking approach based on the generalized Fermat-Torricelli point.
Comput. Ind. Eng., 2021

2016
The dynamic financial distress prediction method of EBW-VSTW-SVM.
Enterp. Inf. Syst., 2016

2015
Dynamic credit scoring using B & B with incremental-SVM-ensemble.
Kybernetes, 2015

The assisted prediction modelling frame with hybridisation and ensemble for business risk forecasting and an implementation.
Int. J. Syst. Sci., 2015

2014
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches.
Knowl. Based Syst., 2014

Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods.
J. Oper. Res. Soc., 2014

The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process.
Int. J. Syst. Sci., 2014

Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine.
Appl. Soft Comput., 2014

2013
Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2013

Forecasting Firm Risk in the Emerging Market of China with Sequential Optimization of Influence Factors on Performance of Case-Based Reasoning: an Empirical Study with Imbalanced samples.
Intell. Syst. Account. Finance Manag., 2013

Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms.
Int. J. Syst. Sci., 2013

Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression.
Expert Syst. J. Knowl. Eng., 2013

2012
Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness.
Expert Syst. Appl., 2012

Financial distress prediction using support vector machines: Ensemble vs. individual.
Appl. Soft Comput., 2012

Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis.
Appl. Soft Comput., 2012

Identifying Chinese Hospitality Firm Failures and Differences from Results on Developed Countries: Significant Variables and Predictive Models.
Proceedings of the Fifth International Conference on Business Intelligence and Financial Engineering, 2012

2011
SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams.
Knowl. Based Syst., 2011

The random subspace binary logit (RSBL) model for bankruptcy prediction.
Knowl. Based Syst., 2011

Introduction.
Int. J. Neural Syst., 2011

Principal component case-based reasoning ensemble for business failure prediction.
Inf. Manag., 2011

Dynamic financial distress prediction using instance selection for the disposal of concept drift.
Expert Syst. Appl., 2011

AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies.
Expert Syst. Appl., 2011

Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study.
Expert Syst. Appl., 2011

Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction.
Expert Syst. Appl., 2011

Predicting business failure using forward ranking-order case-based reasoning.
Expert Syst. Appl., 2011

Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction.
Comput. Oper. Res., 2011

On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values.
Appl. Soft Comput., 2011

2010
Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods.
Expert Syst. Appl., 2010

On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction.
Expert Syst. Appl., 2010

Business failure prediction using hybrid<sup>2</sup> case-based reasoning (H<sup>2</sup>CBR).
Comput. Oper. Res., 2010

2009
Gaussian case-based reasoning for business failure prediction with empirical data in China.
Inf. Sci., 2009

Financial distress prediction based on serial combination of multiple classifiers.
Expert Syst. Appl., 2009

Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors.
Expert Syst. Appl., 2009

Majority voting combination of multiple case-based reasoning for financial distress prediction.
Expert Syst. Appl., 2009

Predicting business failure using multiple case-based reasoning combined with support vector machine.
Expert Syst. Appl., 2009

Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II.
Eur. J. Oper. Res., 2009

Financial distress early warning based on group decision making.
Comput. Oper. Res., 2009

The induced continuous ordered weighted geometric operators and their application in group decision making.
Comput. Ind. Eng., 2009

2008
Data mining method for listed companies' financial distress prediction.
Knowl. Based Syst., 2008

Ranking-order case-based reasoning for financial distress prediction.
Knowl. Based Syst., 2008

Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers.
Expert Syst. Appl., 2008


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