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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
Published on: February 13, 2018
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Forecasting of the wind speed under uncertainty.
1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia. aslam_ravian@hotmail.com.
Scientific Reports
|November 21, 2020
Summary
This study introduces a new semi-average method using neutrosophic statistics for trend analysis. The proposed method demonstrates effectiveness and flexibility in forecasting wind speed data with indeterminacy.
Area of Science:
- Statistics
- Data Analysis
- Forecasting
Background:
- Traditional statistical methods struggle with indeterminate or uncertain data.
- Neutrosophic statistics offers a framework to handle imprecise information.
Purpose of the Study:
- To introduce and apply the semi-average method within the framework of neutrosophic statistics.
- To analyze trend regression lines in the presence of neutrosophic data.
- To evaluate the efficiency of the neutrosophic semi-average method compared to classical methods.
Main Methods:
- Introduction of the semi-average method under neutrosophic statistics.
- Development of a trend regression line for data with Neutrosophy.
- Application using wind speed data exhibiting indeterminacy.
Main Results:
- The semi-average method under neutrosophic statistics was successfully applied to wind speed data.
- The proposed method effectively models trends in data with indeterminacy.
- Comparison indicated advantages over the classical semi-average method.
Conclusions:
- The neutrosophic semi-average method is an effective, informative, and flexible tool for wind speed forecasting.
- This approach provides a robust way to handle uncertainty in time series data.
- The study highlights the utility of neutrosophic statistics in practical forecasting applications.
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