Zhi Xiao
Orcid: 0000-0003-2897-888X
According to our database1,
Zhi Xiao
authored at least 41 papers
between 2006 and 2024.
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Bibliography
2024
Int. J. Account. Inf. Syst., 2024
2023
Using random forest to find the discontinuity points for carbon efficiency during COVID-19.
Soft Comput., November, 2023
An integrated decision support framework for new energy vehicle evaluation based on regret theory and QUALIFLEX under Z-number environment.
Inf. Sci., November, 2023
A multiple criteria ensemble pruning method for binary classification based on D-S theory of evidence.
Int. J. Mach. Learn. Cybern., April, 2023
Z-number dominance, support and opposition relations for multi-criteria decision-making.
Inf. Sci., April, 2023
Supply chain risk management with machine learning technology: A literature review and future research directions.
Comput. Ind. Eng., 2023
2022
Stock price prediction for new energy vehicle enterprises: An integrated method based on time series and cloud models.
Expert Syst. Appl., 2022
2021
Machine learning in recycling business: an investigation of its practicality, benefits and future trends.
Soft Comput., 2021
N-Tier Soft Set Data Model: An Approach to Combine the Logicality of SQL and the Flexibility of NoSQL.
Mob. Inf. Syst., 2021
Stock selection multicriteria decision-making method based on elimination and choice translating reality I with Z-numbers.
Int. J. Intell. Syst., 2021
Proceedings of the Advances in Computational Intelligence, 2021
2020
A systematic review of the research trends of machine learning in supply chain management.
Int. J. Mach. Learn. Cybern., 2020
2019
Peer-to-Peer Lending Platform Selection Using Intuitionistic Fuzzy Soft Set and D-S Theory of Evidence.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019
Appl. Intell., 2019
External Stimuli Predict Financial Market Behavior From the Brain Perception Perspective.
IEEE Access, 2019
Research on Economic Recession Prediction Model From the Multiple Behavioral Features Perspective.
IEEE Access, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
BSSReduce an O(|U|) Incremental Feature Selection Approach for Large-Scale and High-Dimensional Data.
IEEE Trans. Fuzzy Syst., 2018
Appl. Soft Comput., 2018
IEEE Access, 2018
2017
A multiple support vector machine approach to stock index forecasting with mixed frequency sampling.
Knowl. Based Syst., 2017
Electron. Commer. Res., 2017
2016
Soft Set Theory Oriented Forecast Combination Method for Business Failure Prediction.
J. Inf. Process. Syst., 2016
Int. J. Appl. Decis. Sci., 2016
Appl. Soft Comput., 2016
2015
Adv. Eng. Softw., 2015
2014
Knowl. Based Syst., 2014
J. Inf. Process. Syst., 2014
J. Intell. Fuzzy Syst., 2014
2013
A method based on interval-valued fuzzy soft set for multi-attribute group decision-making problems under uncertain environment.
Knowl. Inf. Syst., 2013
Nonparametric interval prediction of chaotic time series and its application to climatic system.
Int. J. Syst. Sci., 2013
2012
The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory.
Knowl. Based Syst., 2012
2011
A Partner Selection Method Based on Risk Evaluation Using Fuzzy Soft Set Theory in Supply Chain.
Proceedings of the Modeling Risk Management in Sustainable Construction, 2011
Corrigendum to "Exclusive disjunctive soft set" [Comput. Math. Appl. 59(2010) 2128-2137].
Comput. Math. Appl., 2011
2010
A model based on rough set theory combined with algebraic structure and its application: Bridges maintenance management evaluation.
Expert Syst. Appl., 2010
2009
Expert Syst. Appl., 2009
2008
Knowl. Based Syst., 2008
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006