Yong Tan

Orcid: 0000-0002-3482-1574

According to our database1, Yong Tan authored at least 28 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
A hybrid second-order cone programming and multi-criteria decision-making method for cost-benefit analysis in global banking.
Expert Syst. Appl., 2025

Predicting Patients' Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks.
IEEE Access, 2025

2024
Spherical Fuzzy Multicriteria Decision Making for Evaluating Healthcare Service Quality of Hospitals During the Global Pandemic.
Int. J. Comput. Intell. Syst., December, 2024

Incorporating causal modeling into data envelopment analysis for performance evaluation.
Ann. Oper. Res., November, 2024

Modelling the Interaction Between Incumbents and New Entrants with a Game Theory Approach: A Case Study of Public Transportation.
SN Comput. Sci., October, 2024

Cost efficiency of Chinese banks: Evidence from DEA and MLP-SSRP analysis.
Expert Syst. Appl., March, 2024

Investigating into the dual role of loan loss reserves in banking production process.
Ann. Oper. Res., March, 2024

Nash Bargaining Game Enhanced Global Malmquist Productivity Index for Cross-Productivity Index.
Games, February, 2024

The impacts of innovation and trade openness on bank market power: The proposal of a minimum distance cost function approach and a causal structure analysis.
Eur. J. Oper. Res., February, 2024

Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., January, 2024

A Three-Echelon Healthcare Supply Chain Model for Blood Distribution During Crisis Times.
Syst., 2024

Estimating Japanese bank performance: Stochastic entropic analysis on the basis of ideal solutions.
Expert Syst. Appl., 2024

Prospective Portfolio Optimization With Asset Preselection Using a Combination of Long and Short Term Memory and Sharpe Ratio Maximization.
IEEE Access, 2024

2023
General and multiplicative non-parametric models with interval ratio data: application to the banking industry.
RAIRO Oper. Res., September, 2023

Endogenous and exogenous performance sources in Asian Banking: A hybrid stochastic Multi-Criteria Decision-Making approach based on sign decomposition and transfer entropy.
Expert Syst. Appl., September, 2023

TEA-IS: A hybrid DEA-TOPSIS approach for assessing performance and synergy in Chinese health care.
Decis. Support Syst., August, 2023

Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry.
Eur. J. Oper. Res., June, 2023

Temporal dependence and bank efficiency drivers in OECD: A stochastic DEA-ratio approach based on generalized auto-regressive moving averages.
Expert Syst. Appl., 2023

2022
A higher order portfolio optimization model incorporating information entropy.
Intell. Syst. Appl., 2022

Evaluation of Multi-stage Fuzzy Networks in DEA and DEA-R Based on Liquidity Ratios with Undesirable Outputs.
Int. J. Fuzzy Syst., 2022

Portfolio Optimization with a Mean-Entropy-Mutual Information Model.
Entropy, 2022

Bank efficiency estimation in China: DEA-RENNA approach.
Ann. Oper. Res., 2022

Unveiling endogeneity and temporal dependence in energy prices and demand in Iberian countries: a stochastic hidden Markov model approach.
Ann. Oper. Res., 2022

2021
Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis.
Entropy, 2021

Inventory pooling decisions under demand scenarios in times of COVID-19.
Comput. Ind. Eng., 2021

Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis.
Ann. Oper. Res., 2021

Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?
Ann. Oper. Res., 2021

2020
Business environment drivers and technical efficiency in the Chinese energy industry: A robust Bayesian stochastic frontier analysis.
Comput. Ind. Eng., 2020


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