Peng Jiang
Orcid: 0000-0003-4876-693X
According to our database1,
Peng Jiang
authored at least 18 papers
between 2017 and 2025.
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Bibliography
2025
Configural Perspectives on Urban Talent Ecology and Talent Competitiveness: A Dual Analysis Using GQCA and fsQCA.
Syst., 2025
Grey Syst. Theory Appl., 2025
2024
What kind of urban brand ecology attracts talent best? Grey configuration analysis of 98 Chinese cities.
Grey Syst. Theory Appl., 2024
Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting.
Expert Syst. Appl., 2024
2023
Constructing interval models using neural networks with non-additive combinations of grey prediction models in tourism demand.
Grey Syst. Theory Appl., 2023
2022
Novel Fractional Grey Prediction Model with the Change-Point Detection for Overseas Talent Mobility Prediction.
Axioms, 2022
2021
Pattern classification using tolerance rough sets based on non-additive grey relational analysis and DEMATEL.
Grey Syst. Theory Appl., 2021
Grey Syst. Theory Appl., 2021
Incorporating Grey Relational Analysis into Grey Prediction Models to Forecast the Demand for Magnesium Materials.
Cybern. Syst., 2021
2020
Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making.
Symmetry, 2020
Fuzzified grey prediction models using neural networks for tourism demand forecasting.
Comput. Appl. Math., 2020
Identification of Key Factors Affecting Logistics Service Quality of Cross-border E-commerce.
Proceedings of the HCI in Business, Government and Organizations, 2020
2019
Using a Hybrid Multiple-Criteria Decision-Making Technique to Identify Key Factors Influencing Microblog Users' Diffusion Behaviors in Emergencies: Evidence from Generations Born after 2000.
Symmetry, 2019
J. Oper. Res. Soc., 2019
Analyzing China's OFDI using a novel multivariate grey prediction model with Fourier series.
Int. J. Intell. Comput. Cybern., 2019
Proceedings of the HCI in Business, Government and Organizations. Information Systems and Analytics, 2019
2017
Forecasting energy demand using neural-network-based grey residual modification models.
J. Oper. Res. Soc., 2017
A Novel Grey Prediction Model Combining Markov Chain with Functional-Link Net and Its Application to Foreign Tourist Forecasting.
Inf., 2017