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A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues
Rising market demands, economic pressures, and technological advancements have
spurred researchers to seek ways to enhance business environments and scientific …
spurred researchers to seek ways to enhance business environments and scientific …
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electric load forecasting is essential for the planning and maintenance of power systems.
However, its un-stationary and non-linear properties impose significant difficulties in …
However, its un-stationary and non-linear properties impose significant difficulties in …
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
Efficient forecasting of ship order books holds immense significance in the maritime industry,
enabling companies to optimize their operations, allocate resources effectively, and make …
enabling companies to optimize their operations, allocate resources effectively, and make …
Monthly ship price forecasting based on multivariate variational mode decomposition
Z Wang, L Chen, H Chen, N ur Rehman - Engineering Applications of …, 2023 - Elsevier
Accurate and reliable ship price forecasts can assist ship** firms, investors, and other
participants to withstand risks and make profits in a highly volatile ship** market …
participants to withstand risks and make profits in a highly volatile ship** market …
Robust empirical wavelet fuzzy cognitive map for time series forecasting
Fuzzy cognitive maps have achieved significant success in time series modeling and
forecasting. However, fuzzy cognitive maps still contain weakness to handle the …
forecasting. However, fuzzy cognitive maps still contain weakness to handle the …
An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index
H Yang, Y Gao, F Zhao, J Wang - Environmental Research, 2024 - Elsevier
Due to the emergency environment pollution problems, it is imperative to understand the air
quality and take effective measures for environmental governance. As a representative …
quality and take effective measures for environmental governance. As a representative …
Predictive analysis of sell-and-purchase ship** market: A PIMSE approach
Estimating second-hand ship prices in the highly uncertain and cyclical ship trading market
is a challenge due to its volatile nature. In this study, we propose a novel and highly …
is a challenge due to its volatile nature. In this study, we propose a novel and highly …
Newbuilding ship price forecasting by parsimonious intelligent model search engine
Asset prices play a significant role in the financial survival and profitability of ship-owning
firms. In a highly volatile ship** market, prices of newbuilding ships must be predicted to …
firms. In a highly volatile ship** market, prices of newbuilding ships must be predicted to …
Determinants of dry bulk ship** freight rates: Considering Chinese manufacturing industry and economic policy uncertainty
B Gu, J Liu - Transport Policy, 2022 - Elsevier
The past decades have witnessed the rapid development of China's manufacturing industry,
which has established China's status as a manufacturing and trading power. Along with the …
which has established China's status as a manufacturing and trading power. Along with the …
Multi-rule combination prediction of compositional data time series based on multivariate fuzzy time series model and its application
H Huang, Y Tian, Z Tao - Expert Systems with Applications, 2024 - Elsevier
Compositional data (CoDa) is a type of relative data reflecting the proportion of different
units in an integrated system, which can reveal the internal structure of observed objects and …
units in an integrated system, which can reveal the internal structure of observed objects and …