A Novel Framework for Enhanced Rainfall Estimation and Forecasting Using Interval Type-2 Fuzzy Systems
Accurate weather prediction is essential for mitigating the impacts of natural disasters, particularly in coastal areas vulnerable to cyclones and intense rainfall. This study aims to improve rainfall forecasting accuracy in cyclone-prone regions through a novel Interval Type-2 Fuzzy Logic System (I...
Saved in:
| Main Authors: | R. Syed Aamir Adnan, Ranganathan Kumaravel |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-03-01
|
| Series: | Fuzzy Information and Engineering |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/FIE.2025.9270050 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq
by: Baghdad Science Journal
Published: (2012-03-01) -
Weather and climate services in Ethiopia: progress, challenges, and opportunities
by: Fetene Teshome Tola, et al.
Published: (2025-04-01) -
Meteorological service for civil aviation: problems and ways of their solution
by: E. A. Bolelov
Published: (2018-10-01) -
A 30-yr high-resolution weather research and forecasting model downscaling data over California and NevadaWorld Data Center for Climate
by: Charles Jones, et al.
Published: (2025-06-01) -
A New Fractional-Order Adaptive Interval Type-3 Fuzzy Logic-Backstepping Control Algorithm of Doubly Fed Induction Generators
by: Tarek Aounallah, et al.
Published: (2025-01-01)